Project_1
Jason Herbaugh, Sadik Aman, Michael Mazel
6/4/2021
MSDS 6372 Project 1 Description
For this project, we are going to be using a data set provided in Kaggle titled “Life Expectancy (WHO): Statistical Analysis on factors influencing life expectancy”. The information was collected over numerous years and, because of logistics in recording changes over time, there will be some missing data issues that the group must discuss and develop a strategy to proceed.
Data, along with information on the variables included in the file can be found at https://www.kaggle.com/kumarajarshi/life-expectancy-who.
Setting Options for Analysis
Import Libraries
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(ggplot2)
library(ggthemes)
library(stringr)
library(PerformanceAnalytics)## Loading required package: xts## Loading required package: zoo##
## Attaching package: 'zoo'## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric##
## Attaching package: 'xts'## The following objects are masked from 'package:dplyr':
##
## first, last##
## Attaching package: 'PerformanceAnalytics'## The following object is masked from 'package:graphics':
##
## legendlibrary(mice)##
## Attaching package: 'mice'## The following object is masked from 'package:stats':
##
## filter## The following objects are masked from 'package:base':
##
## cbind, rbindlibrary(caret)## Loading required package: latticelibrary(corrr)
library(VIM)## Loading required package: colorspace## Loading required package: grid## VIM is ready to use.## Suggestions and bug-reports can be submitted at: https://github.com/statistikat/VIM/issues##
## Attaching package: 'VIM'## The following object is masked from 'package:datasets':
##
## sleeplibrary(glmnet)## Loading required package: Matrix## Loaded glmnet 4.1-1library(Boruta)
library(VIF)Additional Options for Analysis
theme_set(theme_minimal())
theme_update(axis.title = element_text())
theme_update(plot.title = element_text(hjust = 0.5)) # changing default to center all titles
options(scipen=999) #prevent scientific notationImport, split data into test and train, and view summary of columns
LifeExpData = read.csv(file = "Life Expectancy Data.csv", stringsAsFactors = T)
set.seed(123) #for reproducability
smp_size <- floor(0.75 * nrow(LifeExpData))
train_ind <- sample(seq_len(nrow(LifeExpData)), size = smp_size)
train <- LifeExpData[train_ind, ]
test <- LifeExpData[-train_ind, ]
summary(train)## Country Year Status
## Equatorial Guinea : 16 Min. :2000 Developed : 389
## Japan : 15 1st Qu.:2004 Developing:1814
## Kenya : 15 Median :2008
## Micronesia (Federated States of): 15 Mean :2008
## Myanmar : 15 3rd Qu.:2011
## Paraguay : 15 Max. :2015
## (Other) :2112
## Life.expectancy Adult.Mortality infant.deaths Alcohol
## Min. :36.30 Min. : 1.0 Min. : 0.00 Min. : 0.010
## 1st Qu.:63.20 1st Qu.: 72.0 1st Qu.: 0.00 1st Qu.: 0.880
## Median :72.00 Median :143.0 Median : 3.00 Median : 3.690
## Mean :69.24 Mean :163.9 Mean : 28.78 Mean : 4.593
## 3rd Qu.:75.80 3rd Qu.:226.0 3rd Qu.: 21.00 3rd Qu.: 7.715
## Max. :89.00 Max. :723.0 Max. :1800.00 Max. :17.870
## NA's :7 NA's :7 NA's :136
## percentage.expenditure Hepatitis.B Measles BMI
## Min. : 0.000 Min. : 2.00 Min. : 0.0 Min. : 1.00
## 1st Qu.: 5.324 1st Qu.:77.00 1st Qu.: 0.0 1st Qu.:19.10
## Median : 69.968 Median :92.00 Median : 17.0 Median :43.00
## Mean : 714.914 Mean :81.25 Mean : 2219.2 Mean :38.07
## 3rd Qu.: 442.851 3rd Qu.:97.00 3rd Qu.: 357.5 3rd Qu.:56.10
## Max. :19479.912 Max. :99.00 Max. :212183.0 Max. :83.30
## NA's :404 NA's :20
## under.five.deaths Polio Total.expenditure Diphtheria
## Min. : 0.00 Min. : 3.00 Min. : 0.740 Min. : 2.00
## 1st Qu.: 0.00 1st Qu.:78.00 1st Qu.: 4.240 1st Qu.:78.00
## Median : 4.00 Median :93.00 Median : 5.790 Median :93.00
## Mean : 40.19 Mean :82.55 Mean : 5.965 Mean :82.38
## 3rd Qu.: 27.00 3rd Qu.:97.00 3rd Qu.: 7.567 3rd Qu.:97.00
## Max. :2400.00 Max. :99.00 Max. :17.240 Max. :99.00
## NA's :11 NA's :161 NA's :11
## HIV.AIDS GDP Population thinness..1.19.years
## Min. : 0.100 Min. : 1.68 Min. : 36 Min. : 0.100
## 1st Qu.: 0.100 1st Qu.: 467.10 1st Qu.: 184042 1st Qu.: 1.600
## Median : 0.100 Median : 1841.09 Median : 1321618 Median : 3.400
## Mean : 1.819 Mean : 7240.20 Mean : 11829912 Mean : 4.897
## 3rd Qu.: 0.800 3rd Qu.: 5751.56 3rd Qu.: 7365517 3rd Qu.: 7.200
## Max. :50.600 Max. :119172.74 Max. :1179681239 Max. :27.500
## NA's :333 NA's :488 NA's :20
## thinness.5.9.years Income.composition.of.resources Schooling
## Min. : 0.100 Min. :0.0000 Min. : 0.0
## 1st Qu.: 1.500 1st Qu.:0.4940 1st Qu.:10.1
## Median : 3.400 Median :0.6770 Median :12.3
## Mean : 4.917 Mean :0.6278 Mean :12.0
## 3rd Qu.: 7.300 3rd Qu.:0.7790 3rd Qu.:14.3
## Max. :28.500 Max. :0.9480 Max. :20.7
## NA's :20 NA's :134 NA's :132Check how many levels are in each categorical variable. Then view histograms
length(unique(train$Status))## [1] 2length(unique(train$Country))## [1] 190ggplot(train, aes(x=Life.expectancy, fill=Status)) +
geom_histogram(alpha=0.5, position="identity")## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.## Warning: Removed 7 rows containing non-finite values (stat_bin).
View correlations between quantitative variables
quant <- subset(train, select=-c(Country, Status))
res.cor <- correlate(quant)##
## Correlation method: 'pearson'
## Missing treated using: 'pairwise.complete.obs'res.cor## # A tibble: 20 x 21
## term Year Life.expectancy Adult.Mortality infant.deaths Alcohol
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 Year NA 0.178 -0.0873 -0.0241 -0.0649
## 2 Life.expectancy 0.178 NA -0.693 -0.207 0.405
## 3 Adult.Mortality -0.0873 -0.693 NA 0.0846 -0.184
## 4 infant.deaths -0.0241 -0.207 0.0846 NA -0.113
## 5 Alcohol -0.0649 0.405 -0.184 -0.113 NA
## 6 percentage.exp~ 0.0281 0.375 -0.235 -0.0857 0.339
## 7 Hepatitis.B 0.121 0.273 -0.158 -0.237 0.0884
## 8 Measles -0.0790 -0.160 0.0336 0.497 -0.0483
## 9 BMI 0.101 0.552 -0.378 -0.223 0.308
## 10 under.five.dea~ -0.0294 -0.234 0.101 0.996 -0.110
## 11 Polio 0.108 0.470 -0.267 -0.173 0.221
## 12 Total.expendit~ 0.104 0.221 -0.113 -0.125 0.290
## 13 Diphtheria 0.158 0.482 -0.270 -0.189 0.217
## 14 HIV.AIDS -0.148 -0.560 0.541 0.0292 -0.0485
## 15 GDP 0.0912 0.454 -0.285 -0.107 0.360
## 16 Population 0.0141 -0.0267 -0.0228 0.587 -0.0339
## 17 thinness..1.19~ -0.0445 -0.472 0.291 0.455 -0.433
## 18 thinness.5.9.y~ -0.0462 -0.467 0.299 0.468 -0.422
## 19 Income.composi~ 0.243 0.719 -0.450 -0.147 0.457
## 20 Schooling 0.208 0.747 -0.443 -0.194 0.546
## # ... with 15 more variables: percentage.expenditure <dbl>, Hepatitis.B <dbl>,
## # Measles <dbl>, BMI <dbl>, under.five.deaths <dbl>, Polio <dbl>,
## # Total.expenditure <dbl>, Diphtheria <dbl>, HIV.AIDS <dbl>, GDP <dbl>,
## # Population <dbl>, thinness..1.19.years <dbl>, thinness.5.9.years <dbl>,
## # Income.composition.of.resources <dbl>, Schooling <dbl>quant %>%
correlate(use = "pairwise.complete.obs") %>%
rearrange(method = "PCA") %>%
shave() %>%
# rplot need to receive a correlation matrix
rplot(shape = 15, colours = c("darkorange", "white", "darkcyan")) +
theme_minimal() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1)
)##
## Correlation method: 'pearson'
## Missing treated using: 'pairwise.complete.obs'## Registered S3 methods overwritten by 'registry':
## method from
## print.registry_field proxy
## print.registry_entry proxy## Don't know how to automatically pick scale for object of type noquote. Defaulting to continuous.
We can see our response variable, LifeExpectancy, has correlations up to .75. Predictor variables have correlations up to 1 with one-another. Let’s view the scatterplots
par(mfrow=c(2,3))
plot(y = train$Life.expectancy, x = train$Year)
plot(y = train$Life.expectancy, x = train$Adult.Mortality)
plot(y = train$Life.expectancy, x = train$infant.deaths)
plot(y = train$Life.expectancy, x = train$Alcohol)
plot(y = train$Life.expectancy, x = train$percentage.expenditure)
plot(y = train$Life.expectancy, x = train$under.five.deaths)
plot(y = train$Life.expectancy, x = train$Measles)
plot(y = train$Life.expectancy, x = train$BMI)
plot(y = train$Life.expectancy, x = train$Polio)
plot(y = train$Life.expectancy, x = train$Total.expenditure)
plot(y = train$Life.expectancy, x = train$Diphtheria)
plot(y = train$Life.expectancy, x = train$HIV.AIDS)
plot(y = train$Life.expectancy, x = train$GDP)
plot(y = train$Life.expectancy, x = train$Population)
plot(y = train$Life.expectancy, x = train$thinness..1.19.years)
plot(y = train$Life.expectancy, x = train$thinness.5.9.years)
plot(y = train$Life.expectancy, x = train$Income.composition.of.resources)
plot(y = train$Life.expectancy, x = train$Schooling)
We can see a few points of concern, such as some strong outliers. Additionally, some variables have distinct branches, such as Adult.Mortality. Let’s explore these variables to see if we can determine the cause. First, we will color based off developed or undeveloped status.
plot(y = train$Life.expectancy, x = train$Adult.Mortality, col = train$Status)
This does not solve the disparity, let’s see the individual data points between the two clusters
train %>% filter(Adult.Mortality < 40)## Country Year Status
## 1 Sao Tome and Principe 2006 Developing
## 2 Netherlands 2003 Developed
## 3 Israel 2014 Developing
## 4 Cuba 2008 Developing
## 5 Trinidad and Tobago 2015 Developing
## 6 Gabon 2009 Developing
## 7 Peru 2010 Developing
## 8 Qatar 2013 Developing
## 9 Myanmar 2006 Developing
## 10 Barbados 2013 Developing
## 11 Maldives 2004 Developing
## 12 Fiji 2009 Developing
## 13 Grenada 2011 Developing
## 14 Iraq 2002 Developing
## 15 Azerbaijan 2007 Developing
## 16 Suriname 2010 Developing
## 17 Thailand 2009 Developing
## 18 United States of America 2015 Developed
## 19 Denmark 2001 Developed
## 20 Latvia 2010 Developed
## 21 Cuba 2002 Developing
## 22 Haiti 2004 Developing
## 23 Oman 2008 Developing
## 24 Nicaragua 2006 Developing
## 25 Kiribati 2008 Developing
## 26 Austria 2007 Developed
## 27 Morocco 2002 Developing
## 28 Colombia 2003 Developing
## 29 Saudi Arabia 2005 Developing
## 30 Cyprus 2009 Developed
## 31 Tunisia 2014 Developing
## 32 Nepal 2001 Developing
## 33 Cambodia 2007 Developing
## 34 Saudi Arabia 2001 Developing
## 35 El Salvador 2003 Developing
## 36 Seychelles 2014 Developing
## 37 Senegal 2012 Developing
## 38 Azerbaijan 2000 Developing
## 39 Mexico 2009 Developing
## 40 Samoa 2005 Developing
## 41 Croatia 2009 Developed
## 42 Guinea 2011 Developing
## 43 Iran (Islamic Republic of) 2000 Developing
## 44 Sao Tome and Principe 2015 Developing
## 45 Lebanon 2005 Developing
## 46 The former Yugoslav republic of Macedonia 2005 Developing
## 47 Turkey 2013 Developing
## 48 Iraq 2004 Developing
## 49 Turkey 2015 Developing
## 50 Ghana 2003 Developing
## 51 Solomon Islands 2006 Developing
## 52 Tunisia 2002 Developing
## 53 Kiribati 2012 Developing
## 54 Lebanon 2003 Developing
## 55 Albania 2001 Developing
## 56 Bahrain 2014 Developing
## 57 Lao People's Democratic Republic 2006 Developing
## 58 Belize 2013 Developing
## 59 Myanmar 2012 Developing
## 60 Haiti 2006 Developing
## 61 Slovakia 2015 Developed
## 62 Italy 2012 Developed
## 63 Cuba 2006 Developing
## 64 Croatia 2011 Developed
## 65 Ethiopia 2007 Developing
## 66 Japan 2002 Developed
## 67 Kyrgyzstan 2014 Developing
## 68 Albania 2008 Developing
## 69 Japan 2003 Developed
## 70 Cuba 2003 Developing
## 71 Indonesia 2005 Developing
## 72 Bolivia (Plurinational State of) 2009 Developing
## 73 Saudi Arabia 2012 Developing
## 74 Madagascar 2013 Developing
## 75 Jordan 2007 Developing
## 76 Burundi 2008 Developing
## 77 Cuba 2005 Developing
## 78 Nepal 2005 Developing
## 79 Liberia 2006 Developing
## 80 Bhutan 2001 Developing
## 81 Bahrain 2001 Developing
## 82 Czechia 2007 Developed
## 83 Samoa 2000 Developing
## 84 Uganda 2014 Developing
## 85 Lithuania 2007 Developed
## 86 Burundi 2010 Developing
## 87 Ukraine 2011 Developing
## 88 Fiji 2010 Developing
## 89 United States of America 2012 Developed
## 90 Poland 2014 Developed
## 91 Antigua and Barbuda 2009 Developing
## 92 Guatemala 2004 Developing
## 93 Tunisia 2009 Developing
## 94 Mali 2000 Developing
## 95 Equatorial Guinea 2014 Developing
## 96 Bosnia and Herzegovina 2005 Developing
## 97 Ghana 2000 Developing
## 98 United Republic of Tanzania 2010 Developing
## 99 Bulgaria 2013 Developed
## 100 Kiribati 2013 Developing
## 101 Belgium 2000 Developed
## 102 Finland 2001 Developing
## 103 Chad 2009 Developing
## 104 Georgia 2012 Developing
## 105 Rwanda 2014 Developing
## 106 India 2007 Developing
## 107 Czechia 2009 Developed
## 108 Myanmar 2014 Developing
## 109 Malta 2000 Developed
## 110 Haiti 2015 Developing
## 111 Guinea 2008 Developing
## 112 Luxembourg 2005 Developed
## 113 Tunisia 2006 Developing
## 114 Madagascar 2015 Developing
## 115 The former Yugoslav republic of Macedonia 2015 Developing
## 116 Guatemala 2006 Developing
## 117 Tunisia 2013 Developing
## 118 Montenegro 2015 Developing
## 119 Suriname 2007 Developing
## 120 Panama 2012 Developing
## 121 Haiti 2002 Developing
## 122 Cambodia 2011 Developing
## 123 Oman 2014 Developing
## 124 Fiji 2007 Developing
## 125 Albania 2014 Developing
## 126 Brunei Darussalam 2001 Developing
## 127 Guatemala 2008 Developing
## 128 Algeria 2004 Developing
## 129 Fiji 2002 Developing
## 130 Tunisia 2008 Developing
## 131 Malaysia 2002 Developing
## 132 Dominican Republic 2005 Developing
## 133 Cuba 2004 Developing
## 134 Guinea-Bissau 2007 Developing
## 135 Tunisia 2003 Developing
## 136 Norway 2006 Developed
## 137 Finland 2000 Developing
## 138 Czechia 2002 Developed
## 139 Kuwait 2005 Developing
## 140 Gabon 2005 Developing
## 141 Barbados 2009 Developing
## 142 Mongolia 2010 Developing
## 143 Ghana 2007 Developing
## 144 Solomon Islands 2005 Developing
## 145 Mauritania 2012 Developing
## 146 El Salvador 2009 Developing
## 147 Mali 2002 Developing
## 148 Burundi 2013 Developing
## 149 Vanuatu 2000 Developing
## 150 Mauritania 2015 Developing
## 151 Netherlands 2013 Developed
## 152 Tunisia 2010 Developing
## 153 Tonga 2005 Developing
## 154 United States of America 2014 Developed
## 155 Montenegro 2012 Developing
## 156 Italy 2010 Developed
## 157 Solomon Islands 2007 Developing
## 158 Austria 2002 Developed
## 159 Poland 2010 Developed
## 160 Lebanon 2001 Developing
## 161 Senegal 2007 Developing
## 162 Swaziland 2003 Developing
## 163 Syrian Arab Republic 2012 Developing
## 164 Burkina Faso 2013 Developing
## 165 Gambia 2000 Developing
## 166 Pakistan 2000 Developing
## 167 Dominican Republic 2003 Developing
## 168 Micronesia (Federated States of) 2002 Developing
## 169 Papua New Guinea 2005 Developing
## 170 Togo 2011 Developing
## 171 Poland 2013 Developed
## 172 Australia 2014 Developed
## 173 South Sudan 2000 Developing
## 174 Namibia 2009 Developing
## 175 Belize 2003 Developing
## 176 Guinea-Bissau 2006 Developing
## 177 Equatorial Guinea 2015 Developing
## 178 Guyana 2006 Developing
## 179 Greece 2007 Developing
## 180 Kiribati 2014 Developing
## 181 United Arab Emirates 2001 Developing
## 182 Saint Vincent and the Grenadines 2011 Developing
## 183 China 2004 Developing
## 184 Iraq 2005 Developing
## 185 Tunisia 2004 Developing
## 186 Chile 2007 Developing
## 187 Paraguay 2001 Developing
## 188 Kiribati 2011 Developing
## 189 Myanmar 2011 Developing
## 190 United States of America 2010 Developed
## 191 United Republic of Tanzania 2014 Developing
## 192 Brunei Darussalam 2000 Developing
## 193 Austria 2012 Developed
## 194 Finland 2005 Developing
## 195 Bosnia and Herzegovina 2013 Developing
## 196 Barbados 2011 Developing
## 197 Oman 2013 Developing
## 198 Armenia 2014 Developing
## 199 Switzerland 2008 Developed
## 200 Kiribati 2010 Developing
## 201 Indonesia 2007 Developing
## 202 Afghanistan 2002 Developing
## 203 The former Yugoslav republic of Macedonia 2014 Developing
## 204 Ukraine 2012 Developing
## 205 Kazakhstan 2013 Developing
## 206 Spain 2013 Developed
## 207 Micronesia (Federated States of) 2003 Developing
## 208 Czechia 2013 Developed
## 209 Gabon 2001 Developing
## 210 Guinea-Bissau 2001 Developing
## 211 Guinea 2007 Developing
## 212 Comoros 2014 Developing
## 213 Mali 2005 Developing
## 214 Yemen 2002 Developing
## 215 Azerbaijan 2010 Developing
## 216 Syrian Arab Republic 2013 Developing
## 217 Barbados 2010 Developing
## 218 Canada 2010 Developing
## 219 Albania 2005 Developing
## 220 Paraguay 2011 Developing
## 221 Nigeria 2005 Developing
## 222 Israel 2012 Developing
## 223 France 2000 Developing
## 224 Haiti 2001 Developing
## 225 Lithuania 2003 Developed
## 226 Tonga 2011 Developing
## 227 Albania 2002 Developing
## 228 Rwanda 2010 Developing
## 229 Luxembourg 2008 Developed
## 230 Portugal 2005 Developed
## 231 Luxembourg 2012 Developed
## 232 United States of America 2008 Developed
## 233 Denmark 2000 Developed
## 234 Turkey 2014 Developing
## 235 Gabon 2003 Developing
## 236 Lebanon 2002 Developing
## 237 United Arab Emirates 2012 Developing
## 238 Bosnia and Herzegovina 2007 Developing
## 239 Portugal 2001 Developed
## 240 Democratic Republic of the Congo 2001 Developing
## 241 Bolivia (Plurinational State of) 2003 Developing
## 242 Chad 2001 Developing
## 243 Saudi Arabia 2004 Developing
## 244 Czechia 2008 Developed
## 245 Oman 2010 Developing
## 246 India 2006 Developing
## 247 Morocco 2000 Developing
## 248 Democratic Republic of the Congo 2006 Developing
## 249 Pakistan 2005 Developing
## 250 Algeria 2015 Developing
## 251 Liberia 2000 Developing
## 252 Honduras 2007 Developing
## 253 Oman 2011 Developing
## 254 Jamaica 2006 Developing
## 255 Somalia 2007 Developing
## 256 Fiji 2014 Developing
## 257 Colombia 2010 Developing
## 258 Argentina 2004 Developing
## 259 Chile 2000 Developing
## 260 Equatorial Guinea 2009 Developing
## 261 Bahrain 2013 Developing
## 262 Germany 2008 Developed
## 263 Colombia 2009 Developing
## 264 Belgium 2011 Developed
## 265 United States of America 2009 Developed
## 266 United Kingdom of Great Britain and Northern Ireland 2007 Developed
## 267 Slovenia 2009 Developed
## 268 Iceland 2013 Developed
## 269 Russian Federation 2001 Developing
## 270 Timor-Leste 2005 Developing
## 271 Chile 2002 Developing
## 272 Mali 2001 Developing
## 273 Cabo Verde 2004 Developing
## 274 Yemen 2007 Developing
## 275 Albania 2007 Developing
## 276 Belize 2001 Developing
## 277 The former Yugoslav republic of Macedonia 2010 Developing
## 278 Mauritania 2013 Developing
## 279 Latvia 2004 Developed
## 280 Cuba 2009 Developing
## 281 Solomon Islands 2004 Developing
## 282 Senegal 2000 Developing
## 283 Costa Rica 2001 Developing
## 284 Mauritania 2000 Developing
## 285 Trinidad and Tobago 2004 Developing
## 286 Myanmar 2013 Developing
## 287 Georgia 2007 Developing
## 288 Portugal 2003 Developed
## 289 Barbados 2014 Developing
## 290 Armenia 2008 Developing
## 291 Cameroon 2005 Developing
## 292 United States of America 2013 Developed
## 293 Cyprus 2000 Developed
## 294 Guyana 2012 Developing
## 295 Hungary 2004 Developed
## 296 The former Yugoslav republic of Macedonia 2004 Developing
## 297 India 2008 Developing
## 298 Tunisia 2012 Developing
## 299 Morocco 2010 Developing
## 300 United Arab Emirates 2000 Developing
## 301 Denmark 2002 Developed
## 302 Saudi Arabia 2006 Developing
## 303 Croatia 2010 Developed
## 304 Lebanon 2006 Developing
## 305 Tunisia 2005 Developing
## 306 France 2001 Developing
## 307 Lithuania 2002 Developed
## 308 Ukraine 2014 Developing
## 309 United Kingdom of Great Britain and Northern Ireland 2008 Developed
## 310 Myanmar 2010 Developing
## 311 India 2009 Developing
## 312 Malaysia 2011 Developing
## 313 Solomon Islands 2002 Developing
## 314 El Salvador 2007 Developing
## 315 Portugal 2000 Developed
## 316 Botswana 2012 Developing
## 317 Cuba 2007 Developing
## 318 Rwanda 2005 Developing
## 319 Sudan 2006 Developing
## 320 El Salvador 2002 Developing
## 321 United States of America 2007 Developed
## 322 Ghana 2004 Developing
## 323 Brunei Darussalam 2014 Developing
## 324 New Zealand 2012 Developed
## 325 France 2002 Developing
## 326 Czechia 2006 Developed
## 327 Spain 2008 Developed
## 328 Algeria 2014 Developing
## 329 Costa Rica 2006 Developing
## 330 United Arab Emirates 2002 Developing
## 331 Eritrea 2005 Developing
## 332 Switzerland 2009 Developed
## 333 Tunisia 2007 Developing
## 334 Zimbabwe 2006 Developing
## 335 Montenegro 2014 Developing
## 336 Ghana 2002 Developing
## 337 Djibouti 2006 Developing
## 338 Fiji 2003 Developing
## 339 Ireland 2011 Developed
## 340 Slovenia 2005 Developed
## 341 The former Yugoslav republic of Macedonia 2013 Developing
## 342 Antigua and Barbuda 2015 Developing
## 343 Peru 2009 Developing
## 344 Hungary 2011 Developed
## 345 Tunisia 2011 Developing
## 346 Haiti 2005 Developing
## 347 Singapore 2011 Developed
## 348 The former Yugoslav republic of Macedonia 2012 Developing
## 349 Suriname 2005 Developing
## 350 Guatemala 2003 Developing
## 351 Oman 2012 Developing
## 352 Honduras 2013 Developing
## 353 Sao Tome and Principe 2009 Developing
## 354 Lao People's Democratic Republic 2012 Developing
## 355 Mexico 2013 Developing
## 356 Brazil 2004 Developing
## 357 Kazakhstan 2014 Developing
## 358 Iceland 2012 Developed
## 359 Guinea-Bissau 2000 Developing
## 360 Lebanon 2004 Developing
## 361 Nepal 2003 Developing
## 362 Haiti 2000 Developing
## 363 Mali 2012 Developing
## 364 Denmark 2003 Developed
## 365 Costa Rica 2010 Developing
## 366 Guatemala 2002 Developing
## 367 Sri Lanka 2001 Developing
## 368 Guinea-Bissau 2004 Developing
## 369 Slovakia 2007 Developed
## 370 Albania 2003 Developing
## 371 Albania 2000 Developing
## 372 Argentina 2012 Developing
## 373 Guatemala 2005 Developing
## Life.expectancy Adult.Mortality infant.deaths Alcohol
## 1 64.7 22 0 5.46
## 2 78.7 8 1 9.56
## 3 82.2 6 1 2.62
## 4 77.9 12 1 4.26
## 5 71.2 17 0 NA
## 6 61.7 31 2 8.64
## 7 73.7 14 10 4.72
## 8 77.9 7 0 1.20
## 9 64.2 22 61 0.28
## 10 75.2 11 0 8.74
## 11 73.4 16 0 1.60
## 12 68.9 23 0 2.31
## 13 72.9 15 0 7.84
## 14 74.0 14 30 0.15
## 15 73.0 14 6 1.02
## 16 73.0 19 0 5.26
## 17 73.7 16 11 5.88
## 18 79.3 13 23 NA
## 19 77.0 12 0 11.56
## 20 72.8 18 0 9.80
## 21 77.7 19 1 4.10
## 22 58.7 32 18 6.10
## 23 75.2 19 1 0.57
## 24 73.0 17 3 3.69
## 25 65.1 21 0 0.46
## 26 81.0 8 0 12.50
## 27 69.5 15 25 0.46
## 28 72.4 15 16 4.25
## 29 73.1 11 9 0.05
## 30 79.3 6 0 10.80
## 31 75.1 12 3 1.39
## 32 63.2 23 43 0.09
## 33 65.0 24 16 2.08
## 34 72.8 17 10 0.05
## 35 69.9 29 3 3.10
## 36 73.0 17 0 0.01
## 37 65.6 2 20 0.28
## 38 66.6 16 9 0.65
## 39 75.7 13 36 5.27
## 40 71.6 16 0 3.63
## 41 76.3 19 0 12.21
## 42 58.1 29 28 0.22
## 43 73.0 15 35 0.01
## 44 67.5 19 0 NA
## 45 73.9 11 1 1.94
## 46 73.6 12 0 1.75
## 47 75.2 19 17 1.41
## 48 67.2 21 30 0.32
## 49 75.8 16 15 NA
## 50 57.9 38 41 1.53
## 51 67.6 2 0 0.99
## 52 73.5 19 4 1.17
## 53 65.7 24 0 0.01
## 54 73.5 15 1 2.19
## 55 73.6 14 1 4.25
## 56 76.8 7 0 1.57
## 57 61.5 24 11 3.69
## 58 69.8 18 0 6.56
## 59 65.9 25 44 0.55
## 60 61.1 28 17 6.18
## 61 76.7 19 0 NA
## 62 82.0 6 2 7.49
## 63 78.0 14 1 4.17
## 64 77.0 14 0 12.19
## 65 58.5 39 186 1.06
## 66 81.8 7 3 7.87
## 67 78.0 17 3 0.01
## 68 75.3 1 1 5.61
## 69 81.9 7 3 7.83
## 70 77.4 18 1 4.39
## 71 67.2 19 163 0.06
## 72 68.0 27 10 3.87
## 73 74.1 9 8 0.09
## 74 64.7 23 29 0.87
## 75 73.0 12 4 0.60
## 76 55.3 35 23 4.33
## 77 77.2 19 1 4.48
## 78 65.4 28 33 0.20
## 79 56.7 32 11 4.05
## 80 61.7 29 1 0.14
## 81 74.7 9 0 1.95
## 82 76.8 17 0 13.43
## 83 72.0 18 0 3.00
## 84 61.5 38 68 0.01
## 85 72.0 24 0 13.40
## 86 56.8 33 23 4.16
## 87 75.0 24 5 8.48
## 88 69.1 2 0 2.25
## 89 78.8 16 24 8.82
## 90 77.3 12 2 10.71
## 91 75.4 14 0 7.82
## 92 69.6 21 15 2.40
## 93 74.7 12 3 1.40
## 94 49.8 37 60 0.47
## 95 57.9 32 3 0.01
## 96 75.0 12 0 4.56
## 97 57.2 38 43 1.60
## 98 57.5 36 89 4.19
## 99 74.1 14 1 12.06
## 100 65.8 22 0 0.01
## 101 77.6 11 1 11.21
## 102 78.0 1 0 8.94
## 103 57.0 37 46 0.47
## 104 74.2 13 1 7.71
## 105 65.7 23 12 0.01
## 106 65.2 26 1400 1.59
## 107 77.1 12 0 13.23
## 108 66.4 21 40 0.01
## 109 77.5 8 0 5.59
## 110 63.5 24 14 NA
## 111 56.8 33 30 0.21
## 112 78.8 9 0 11.84
## 113 74.4 12 3 1.46
## 114 65.5 22 28 NA
## 115 75.7 12 0 NA
## 116 69.7 24 14 2.38
## 117 74.9 13 3 1.29
## 118 76.1 16 0 NA
## 119 69.5 22 0 4.72
## 120 77.2 12 1 6.95
## 121 59.3 33 19 6.10
## 122 67.0 19 13 2.12
## 123 76.4 11 1 0.40
## 124 68.6 29 0 2.09
## 125 77.5 8 0 4.51
## 126 74.7 19 0 0.47
## 127 79.0 19 13 2.21
## 128 72.3 14 19 0.45
## 129 67.9 22 0 1.85
## 130 74.7 12 3 1.37
## 131 72.9 14 4 0.49
## 132 69.7 28 7 5.71
## 133 77.3 17 1 4.38
## 134 55.0 32 5 2.98
## 135 73.7 17 4 1.34
## 136 84.0 7 0 6.47
## 137 77.5 15 0 8.59
## 138 75.3 12 0 13.47
## 139 73.6 9 0 0.01
## 140 65.0 37 2 7.72
## 141 74.6 19 0 8.46
## 142 66.3 25 1 5.80
## 143 59.9 28 41 1.25
## 144 67.4 24 0 0.90
## 145 62.5 29 8 0.01
## 146 71.4 23 2 2.55
## 147 51.2 31 60 0.53
## 148 58.6 33 22 0.01
## 149 69.0 18 0 1.21
## 150 63.1 25 8 NA
## 151 81.4 6 1 8.68
## 152 74.8 12 3 1.28
## 153 72.3 15 0 1.57
## 154 79.1 14 23 8.82
## 155 75.6 11 0 0.01
## 156 81.8 6 2 6.95
## 157 67.6 2 0 0.85
## 158 78.7 9 0 12.50
## 159 76.3 13 2 10.59
## 160 73.0 11 1 2.19
## 161 62.1 23 22 0.32
## 162 45.9 6 3 5.65
## 163 62.8 32 7 0.01
## 164 59.0 27 40 4.64
## 165 55.9 33 3 2.18
## 166 62.8 19 385 0.02
## 167 73.0 22 7 6.32
## 168 66.2 21 0 2.78
## 169 64.0 37 11 0.84
## 170 58.3 34 14 1.44
## 171 77.1 12 2 11.63
## 172 82.7 6 1 9.71
## 173 48.9 38 31 NA
## 174 62.4 36 3 7.99
## 175 68.4 21 0 5.67
## 176 54.4 36 5 3.22
## 177 58.2 32 3 NA
## 178 65.2 24 1 7.04
## 179 79.4 8 0 9.67
## 180 66.1 2 0 0.01
## 181 74.5 14 1 1.67
## 182 72.7 16 0 7.02
## 183 73.5 11 360 3.04
## 184 66.8 29 31 0.18
## 185 74.0 15 3 1.36
## 186 78.9 9 2 7.39
## 187 71.2 17 4 6.66
## 188 65.5 26 0 0.53
## 189 65.6 27 47 0.33
## 190 78.7 15 25 8.55
## 191 67.0 34 86 0.01
## 192 74.4 16 0 0.37
## 193 88.0 7 0 12.26
## 194 78.9 11 0 9.95
## 195 77.0 9 0 4.12
## 196 74.9 14 0 8.51
## 197 76.2 12 1 0.46
## 198 74.6 12 1 3.91
## 199 82.0 6 0 10.29
## 200 65.3 27 0 0.48
## 201 67.5 19 154 0.06
## 202 56.2 3 88 0.01
## 203 75.5 12 0 1.13
## 204 77.0 25 5 8.44
## 205 69.5 28 5 6.48
## 206 82.4 6 1 9.25
## 207 67.5 18 0 3.15
## 208 78.2 9 0 12.45
## 209 59.8 37 2 9.29
## 210 52.5 32 5 2.55
## 211 56.4 36 31 0.19
## 212 63.2 23 1 0.01
## 213 53.6 29 57 0.55
## 214 61.5 25 45 0.07
## 215 71.1 13 5 1.98
## 216 63.6 37 7 0.01
## 217 74.7 16 0 8.41
## 218 81.2 7 2 8.40
## 219 73.5 15 1 5.16
## 220 73.4 15 3 5.79
## 221 49.2 4 556 9.71
## 222 81.8 6 1 2.78
## 223 78.8 13 3 13.63
## 224 58.9 35 19 6.22
## 225 71.6 22 0 11.29
## 226 72.9 14 0 0.96
## 227 73.3 15 1 3.73
## 228 62.8 26 16 7.92
## 229 80.0 8 0 11.53
## 230 77.7 11 0 13.33
## 231 81.1 7 0 11.34
## 232 78.2 18 27 8.74
## 233 76.9 12 0 11.69
## 234 75.5 17 16 1.45
## 235 59.7 32 2 6.47
## 236 73.2 17 1 1.98
## 237 76.5 8 1 1.75
## 238 75.4 16 0 5.16
## 239 76.9 11 1 12.22
## 240 51.8 34 227 1.90
## 241 64.5 23 13 2.37
## 242 48.0 4 42 0.30
## 243 73.1 12 9 0.06
## 244 77.0 16 0 13.25
## 245 75.6 16 1 0.56
## 246 64.8 28 1500 1.37
## 247 68.6 16 27 0.45
## 248 55.0 36 235 1.53
## 249 62.9 2 364 0.04
## 250 75.6 19 21 NA
## 251 51.9 39 14 4.46
## 252 73.0 16 5 3.16
## 253 75.8 15 1 0.54
## 254 74.0 15 1 3.63
## 255 51.5 34 52 0.01
## 256 69.7 19 0 0.01
## 257 73.6 15 12 4.28
## 258 74.7 13 11 7.63
## 259 77.3 13 2 6.24
## 260 55.7 34 3 7.97
## 261 76.7 7 0 1.65
## 262 79.9 8 2 11.36
## 263 73.6 15 13 4.34
## 264 83.0 8 0 10.11
## 265 78.5 18 26 8.71
## 266 79.5 8 4 11.84
## 267 79.1 9 0 10.52
## 268 82.4 5 0 7.31
## 269 65.1 38 21 10.47
## 270 63.7 26 3 0.36
## 271 77.8 11 2 6.06
## 272 55.0 34 60 0.51
## 273 71.4 14 0 4.19
## 274 63.4 24 38 0.05
## 275 75.9 9 1 5.58
## 276 68.2 21 0 4.90
## 277 74.7 18 0 1.47
## 278 62.7 28 8 0.01
## 279 71.0 26 0 8.81
## 280 78.1 11 1 4.01
## 281 67.1 29 0 1.18
## 282 57.5 25 27 0.29
## 283 77.5 1 1 4.29
## 284 60.0 23 7 0.03
## 285 69.4 19 0 5.82
## 286 66.2 22 42 0.70
## 287 74.4 12 1 8.65
## 288 77.3 15 0 14.21
## 289 75.4 1 0 8.82
## 290 73.2 14 1 3.96
## 291 52.8 4 58 5.03
## 292 78.9 16 23 8.82
## 293 78.1 7 0 9.56
## 294 65.8 22 0 7.57
## 295 72.9 18 1 13.28
## 296 73.5 12 0 2.07
## 297 65.5 23 1300 1.93
## 298 74.9 13 3 1.30
## 299 72.8 11 20 0.56
## 300 74.2 17 1 1.64
## 301 77.0 14 0 11.34
## 302 73.2 1 9 0.08
## 303 76.6 16 0 12.10
## 304 74.1 1 1 1.82
## 305 74.2 14 3 1.37
## 306 79.0 13 3 13.89
## 307 71.4 22 0 11.00
## 308 78.0 23 4 8.06
## 309 79.6 8 4 11.47
## 310 65.4 29 49 0.30
## 311 66.0 2 1300 2.50
## 312 74.3 13 3 0.51
## 313 66.5 22 0 1.08
## 314 71.2 23 2 2.83
## 315 76.6 11 1 11.89
## 316 63.4 3 2 0.01
## 317 78.1 14 1 4.13
## 318 55.3 37 24 7.01
## 319 61.0 26 66 1.90
## 320 73.0 24 3 2.97
## 321 78.1 11 27 8.74
## 322 58.3 34 41 1.46
## 323 77.6 8 0 0.01
## 324 81.1 7 0 9.20
## 325 79.2 11 3 13.78
## 326 76.5 19 0 13.03
## 327 81.3 7 2 10.24
## 328 75.4 11 21 0.01
## 329 78.0 16 1 4.15
## 330 74.7 11 1 1.72
## 331 59.4 34 7 1.07
## 332 82.1 6 0 10.15
## 333 74.6 12 3 1.24
## 334 45.4 7 28 4.57
## 335 75.9 17 0 0.01
## 336 57.6 31 42 1.60
## 337 59.1 39 2 1.02
## 338 68.0 22 0 1.76
## 339 84.0 7 0 11.72
## 340 77.5 14 0 11.14
## 341 75.3 14 0 1.03
## 342 76.4 13 0 NA
## 343 73.8 14 10 4.69
## 344 74.8 15 0 11.51
## 345 74.8 13 3 1.29
## 346 65.0 29 17 5.57
## 347 82.2 6 0 1.80
## 348 75.1 15 0 1.23
## 349 68.9 25 0 4.47
## 350 69.4 24 15 2.45
## 351 76.0 14 1 0.51
## 352 74.3 15 4 3.11
## 353 65.8 21 0 4.13
## 354 64.4 28 9 0.01
## 355 76.6 12 32 5.23
## 356 72.0 17 81 6.85
## 357 69.9 22 5 6.29
## 358 82.5 5 0 7.81
## 359 52.1 3 5 2.84
## 360 73.7 13 1 2.10
## 361 64.3 22 38 0.20
## 362 58.6 35 20 4.79
## 363 57.2 27 53 0.01
## 364 77.3 11 0 11.54
## 365 78.1 16 1 3.58
## 366 69.3 21 16 2.41
## 367 72.7 16 5 1.68
## 368 53.5 38 5 2.58
## 369 74.4 14 0 10.58
## 370 72.8 18 1 4.29
## 371 72.6 11 1 3.66
## 372 75.9 12 9 8.35
## 373 69.2 28 14 2.35
## percentage.expenditure Hepatitis.B Measles BMI under.five.deaths Polio
## 1 47.0893114 75 0 24.0 0 97
## 2 4472.6114000 NA 4 54.2 1 98
## 3 4348.3353100 97 6 64.6 1 95
## 4 708.6157966 95 0 56.2 1 99
## 5 0.0000000 9 0 47.1 0 88
## 6 52.3108628 79 0 33.0 3 74
## 7 69.4393451 93 0 52.2 12 92
## 8 515.0734795 97 73 67.7 0 99
## 9 4.6327763 75 760 17.0 83 82
## 10 263.0372838 91 0 53.0 0 91
## 11 611.9093566 97 37 17.3 0 96
## 12 60.6506845 99 1 58.0 0 99
## 13 11.5671563 94 0 44.7 0 95
## 14 0.0000000 65 0 5.6 37 76
## 15 176.0107106 62 0 45.9 7 81
## 16 99.0809538 86 0 54.8 0 96
## 17 547.2101411 98 6071 26.8 12 99
## 18 0.0000000 92 188 69.6 26 93
## 19 530.4832336 NA 11 52.8 0 97
## 20 1109.9695080 91 0 58.9 0 92
## 21 334.7672107 98 0 51.3 1 98
## 22 64.3985334 NA 0 37.5 24 58
## 23 123.0966298 99 18 51.1 1 97
## 24 21.4112353 88 0 47.1 4 88
## 25 167.6201552 83 0 74.1 0 74
## 26 7453.8644000 85 20 53.7 0 85
## 27 66.7293387 92 6000 46.5 29 94
## 28 417.8038898 92 0 49.0 19 92
## 29 1117.0481340 97 373 6.2 10 96
## 30 230.2524184 96 0 57.3 0 99
## 31 604.8701316 98 15 6.2 3 98
## 32 21.9281388 NA 10849 11.9 58 73
## 33 57.7351671 82 394 14.8 20 82
## 34 710.4952397 95 155 56.9 12 97
## 35 400.1342971 94 0 47.8 4 93
## 36 151.1045552 99 0 36.2 0 99
## 37 10.2065946 91 46 22.7 29 83
## 38 35.0946264 NA 210 42.1 11 75
## 39 881.7364327 95 0 59.4 42 95
## 40 287.4671305 41 0 69.7 0 55
## 41 2160.3801990 97 2 6.0 0 96
## 42 42.2547904 63 11 21.2 43 63
## 43 0.0000000 99 11874 44.9 43 99
## 44 0.0000000 96 0 3.9 0 96
## 45 630.0540723 77 618 6.8 1 74
## 46 0.0000000 53 5 54.9 0 98
## 47 188.1440348 97 7405 64.5 20 98
## 48 44.1205965 62 9081 51.9 37 69
## 49 0.0000000 97 342 66.1 18 97
## 50 31.0943534 8 1939 21.2 63 8
## 51 240.4851202 99 0 43.0 0 99
## 52 262.8184944 93 98 49.7 5 96
## 53 147.4549755 94 0 76.2 0 92
## 54 527.9176618 74 526 59.7 1 74
## 55 96.2055708 96 18 46.0 1 97
## 56 367.2556742 98 46 62.9 0 98
## 57 0.0000000 57 58 15.5 15 56
## 58 629.2018591 95 0 49.3 0 95
## 59 38.4279083 58 2175 21.3 58 87
## 60 6.9955564 NA 0 39.6 23 61
## 61 0.0000000 96 1 59.1 0 96
## 62 4793.9049240 96 376 62.1 2 96
## 63 523.4724284 89 0 54.6 1 99
## 64 1913.3566420 97 12 61.3 0 96
## 65 30.4645181 47 1446 14.5 286 61
## 66 5250.2491880 NA 33812 22.9 5 89
## 67 0.0000000 96 318 43.9 4 95
## 68 36.6220685 99 0 52.6 1 99
## 69 578.7254273 NA 8286 23.4 5 97
## 70 60.3414512 99 0 52.1 1 98
## 71 5.3817826 65 15853 19.0 201 79
## 72 0.0000000 93 0 48.6 12 92
## 73 196.3808305 98 294 65.6 9 98
## 74 79.5088249 74 6 19.5 40 73
## 75 373.2628643 98 41 59.3 4 98
## 76 15.9941519 92 173 15.2 35 89
## 77 518.9359221 95 0 53.8 1 99
## 78 4.2597525 41 5023 13.9 44 78
## 79 15.7993415 NA 20 22.4 15 66
## 80 8.5740298 89 756 14.4 1 88
## 81 1150.4180630 99 5 54.8 0 99
## 82 0.0000000 99 2 62.2 0 99
## 83 21.2543002 89 0 65.6 0 94
## 84 14.1677016 78 314 18.1 97 82
## 85 1581.5119140 96 0 59.0 0 95
## 86 31.1418757 96 495 16.1 34 94
## 87 415.1627705 21 1333 59.0 5 54
## 88 62.0834353 99 0 58.7 0 99
## 89 0.0000000 9 55 68.0 28 93
## 90 243.8084750 96 0 61.1 2 94
## 91 149.3587355 98 0 43.8 0 98
## 92 288.4016258 NA 0 43.1 18 88
## 93 585.6307861 99 1 55.6 3 99
## 94 23.9450712 NA 1578 15.6 111 53
## 95 13.4047742 2 13 24.0 4 24
## 96 45.7135426 93 23 5.5 0 95
## 97 20.6543287 NA 23068 19.5 65 88
## 98 0.0000000 91 167 2.7 131 94
## 99 149.6598790 95 14 64.5 1 95
## 100 137.2591943 95 0 76.7 0 91
## 101 287.2084529 6 0 58.1 1 96
## 102 2775.3354400 NA 1 56.1 0 95
## 103 4.9829004 24 165 16.7 80 32
## 104 158.2576025 92 31 53.6 1 93
## 105 7.5497972 98 10 2.8 16 98
## 106 5.2347703 6 41144 14.4 1900 67
## 107 0.0000000 99 5 63.1 0 99
## 108 45.3378868 88 122 22.9 52 88
## 109 134.3547253 NA 2 62.3 0 94
## 110 0.0000000 6 0 49.9 18 56
## 111 19.6851026 57 89 19.8 47 59
## 112 1346.2466970 95 0 57.0 0 99
## 113 420.1153538 99 3 53.1 4 99
## 114 0.0000000 69 3 2.5 38 71
## 115 0.0000000 92 1 6.3 0 92
## 116 352.0244894 89 0 44.5 17 9
## 117 594.6453102 98 16 59.3 3 98
## 118 0.0000000 82 0 61.8 0 89
## 119 685.0299083 84 0 52.6 0 84
## 120 201.7490628 85 0 55.6 1 87
## 121 50.2855822 NA 0 35.6 26 54
## 122 60.1859177 88 722 17.0 15 87
## 123 166.1913728 99 0 53.5 1 99
## 124 5.8895262 99 0 56.6 0 99
## 125 428.7490668 98 0 57.2 1 98
## 126 1078.6624400 99 11 27.0 0 99
## 127 472.2234994 95 0 45.9 15 96
## 128 220.3936990 81 3289 47.9 23 86
## 129 206.0716860 99 304 52.2 0 94
## 130 53.0845165 99 2 54.7 3 99
## 131 216.7029481 95 408 27.9 4 94
## 132 289.7418649 87 0 48.2 8 86
## 133 4.4842546 99 0 53.0 1 98
## 134 31.0693259 NA 1 21.3 7 76
## 135 321.7694175 92 22 5.6 4 95
## 136 12829.2540800 NA 0 57.0 0 94
## 137 397.7533689 NA 0 55.5 0 96
## 138 0.0000000 86 4 59.9 0 97
## 139 239.5751391 99 10 66.3 1 99
## 140 353.2438029 28 0 3.8 3 44
## 141 327.1618128 93 0 49.9 0 93
## 142 22.3162427 96 7 46.9 2 96
## 143 3.1813736 94 6 23.6 61 94
## 144 25.3115596 83 0 42.1 0 9
## 145 62.4841955 8 35 28.8 12 8
## 146 416.4338399 91 0 52.1 2 91
## 147 3.6764658 NA 717 16.5 108 65
## 148 40.1512846 96 0 17.6 32 96
## 149 21.9007523 7 9 41.1 0 67
## 150 0.0000000 73 1 3.8 12 67
## 151 1475.0303970 51 2632 61.0 1 97
## 152 64.8561672 98 1 56.5 3 98
## 153 689.9440223 89 0 69.4 0 9
## 154 0.0000000 92 667 69.1 27 93
## 155 648.1331781 9 0 6.2 0 94
## 156 5219.6688020 96 372 61.0 2 96
## 157 28.9013523 9 0 43.8 0 93
## 158 3979.0577280 81 0 51.2 0 82
## 159 220.4916851 98 13 58.4 2 96
## 160 510.6035166 8 8 58.6 1 8
## 161 8.3091529 94 11 2.3 36 93
## 162 2.8191245 9 350 27.1 4 87
## 163 0.0000000 43 13 54.2 9 47
## 164 88.9704021 88 375 18.2 66 89
## 165 0.0000000 91 336 18.0 6 84
## 166 18.8453431 NA 2064 16.4 495 65
## 167 293.0196601 79 0 46.1 8 65
## 168 0.0000000 85 0 62.4 0 84
## 169 12.0555200 63 1222 41.1 15 61
## 170 39.0825855 85 187 22.0 21 85
## 171 23.4353349 96 84 6.4 2 95
## 172 10769.3630500 91 340 66.1 1 92
## 173 0.0000000 NA 0 NA 50 NA
## 174 575.6748069 NA 4076 31.0 4 83
## 175 312.7995946 96 0 42.6 0 95
## 176 21.5337494 NA 0 2.7 8 74
## 177 0.0000000 16 1250 24.5 4 17
## 178 170.6325842 93 0 39.6 1 92
## 179 3632.2431210 95 2 61.8 0 99
## 180 97.8719332 75 0 77.1 0 79
## 181 243.7539129 92 30 55.0 1 94
## 182 0.0000000 96 0 5.3 0 96
## 183 1.5866846 79 70549 23.4 427 87
## 184 59.1884515 65 908 52.5 37 69
## 185 379.7659054 96 1 51.4 4 97
## 186 209.4875875 92 0 58.7 2 95
## 187 233.8488603 NA 0 39.8 5 9
## 188 30.4670390 95 0 75.7 0 95
## 189 21.2369885 4 2046 2.5 61 9
## 190 0.0000000 92 63 66.9 30 93
## 191 0.0000000 97 88 23.2 121 97
## 192 11.7968611 99 42 26.1 0 99
## 193 7878.3723550 92 36 56.1 0 92
## 194 4816.5896130 NA 1 58.1 0 97
## 195 75.6106291 91 0 54.7 0 87
## 196 173.9825629 91 0 51.4 0 91
## 197 1154.8934730 98 0 52.8 1 99
## 198 295.6087143 93 13 54.1 1 95
## 199 2084.2555350 NA 2022 54.6 0 96
## 200 18.2166142 91 0 75.2 0 95
## 201 102.6334350 76 19456 2.5 188 77
## 202 16.8873509 64 2486 13.0 122 36
## 203 0.0000000 97 116 59.7 0 96
## 204 453.7830847 46 12746 59.6 5 72
## 205 26.4072659 99 73 51.4 6 98
## 206 423.6804590 95 131 65.4 2 96
## 207 0.0000000 89 0 62.8 0 88
## 208 0.0000000 99 15 65.1 0 99
## 209 183.6980778 NA 5129 28.7 3 44
## 210 0.8687085 NA 126 17.9 9 56
## 211 1.3996267 57 3 19.4 48 46
## 212 73.8658492 88 0 23.7 2 87
## 213 60.2121114 83 33 18.0 101 78
## 214 0.0000000 31 890 32.2 61 64
## 215 246.5686008 8 0 48.0 6 85
## 216 0.0000000 71 740 55.2 9 5
## 217 154.9630863 86 0 5.7 0 9
## 218 8649.6749110 56 99 64.1 2 88
## 219 26.9931214 98 6 49.9 1 97
## 220 472.1932825 89 0 47.1 3 84
## 221 6.4162528 18 110927 19.3 893 45
## 222 3830.1845870 97 211 63.8 1 94
## 223 3410.2844310 26 10000 54.6 4 98
## 224 60.7781587 NA 159 34.8 27 52
## 225 80.9971005 95 1 57.8 0 91
## 226 7.0339808 82 0 73.3 0 84
## 227 104.5169157 96 16 46.9 1 98
## 228 63.7872363 97 121 18.3 23 93
## 229 18961.3486000 94 1 58.4 0 96
## 230 2813.9852850 94 7 54.1 1 93
## 231 2284.5821500 94 2 6.1 0 99
## 232 0.0000000 94 140 65.7 31 94
## 233 508.7496912 NA 14 52.2 0 97
## 234 181.9083783 96 565 65.3 19 96
## 235 352.2323650 NA 0 29.8 3 44
## 236 70.1320784 77 36 59.1 1 77
## 237 3663.7645020 96 132 58.6 1 96
## 238 8.2403559 94 166 51.5 0 95
## 239 1657.3283520 7 0 5.9 1 96
## 240 0.0000000 NA 8072 15.3 332 3
## 241 0.0000000 8 0 44.7 17 82
## 242 26.8743907 NA 24908 14.1 75 26
## 243 816.4795082 96 1880 59.4 11 96
## 244 0.0000000 99 2 62.6 0 99
## 245 129.2260751 99 3 51.8 1 99
## 246 34.8594267 6 64185 13.9 2000 66
## 247 63.4214002 43 7368 44.8 32 95
## 248 0.0000000 NA 80123 17.3 327 62
## 249 30.5932077 7 2981 18.9 459 78
## 250 0.0000000 95 63 59.5 24 95
## 251 12.1970974 NA 5977 2.2 20 56
## 252 222.4823338 93 0 44.3 6 94
## 253 158.2770800 99 5 52.0 1 99
## 254 194.0925690 97 0 47.2 1 99
## 255 0.0000000 NA 1149 2.7 84 4
## 256 50.5394840 99 0 61.9 0 99
## 257 113.2436346 88 0 54.2 15 88
## 258 719.3663797 81 0 56.3 12 91
## 259 74.1484295 NA 0 54.0 3 91
## 260 115.0692415 NA 78 21.7 4 57
## 261 3.9686960 99 0 62.2 0 99
## 262 8285.2646550 87 917 59.0 3 95
## 263 941.6464045 92 0 53.5 15 92
## 264 713.5297354 97 576 62.3 1 98
## 265 0.0000000 92 71 66.3 31 93
## 266 0.0000000 NA 1022 61.9 4 92
## 267 3505.3894340 NA 0 56.4 0 96
## 268 764.5440691 NA 0 6.2 0 91
## 269 2.6425271 43 2072 54.2 25 97
## 270 7.1271447 NA 203 13.5 3 55
## 271 675.7808443 NA 0 55.4 3 97
## 272 4.3958857 NA 4464 16.1 110 56
## 273 240.1397150 91 0 23.7 0 94
## 274 0.0000000 79 13 35.1 49 79
## 275 32.2465523 98 22 51.7 1 99
## 276 251.6586929 96 0 41.4 0 96
## 277 0.0000000 9 217 57.4 0 95
## 278 8.8802812 8 62 29.4 12 8
## 279 80.0328375 98 0 56.6 0 99
## 280 818.8771016 96 0 56.9 1 99
## 281 195.5259417 81 0 41.3 0 89
## 282 5.3973685 NA 5839 17.5 50 49
## 283 868.3713593 8 0 46.4 1 92
## 284 8.5945702 NA 0 21.1 11 58
## 285 11.8510013 94 0 36.8 0 94
## 286 38.3379346 75 1010 22.1 55 76
## 287 106.1646860 94 44 49.9 1 88
## 288 2283.8917960 94 8 52.5 1 96
## 289 294.9056584 94 0 53.7 0 95
## 290 2.8888979 89 0 5.1 1 91
## 291 73.0327619 79 605 23.3 93 79
## 292 0.0000000 91 187 68.6 27 93
## 293 950.8027925 89 0 52.8 0 97
## 294 497.4719464 97 0 44.1 1 97
## 295 146.8608016 NA 0 58.2 1 99
## 296 0.0000000 NA 9 54.5 0 95
## 297 43.0304331 29 44258 14.9 1800 69
## 298 585.8776761 97 48 58.3 3 97
## 299 183.6592186 98 633 53.6 23 99
## 300 262.9589578 92 69 54.1 1 94
## 301 4801.5461250 NA 32 53.3 0 98
## 302 1395.4549650 96 807 6.9 10 96
## 303 206.8868182 97 7 6.6 0 97
## 304 534.5795695 78 956 61.4 1 75
## 305 379.5139945 97 15 52.2 4 98
## 306 3451.1850790 28 0 55.2 4 98
## 307 561.9168642 94 103 57.5 0 97
## 308 5.6638493 22 0 6.7 5 45
## 309 0.0000000 NA 1445 62.5 4 92
## 310 17.4829375 92 190 19.8 65 9
## 311 0.8441863 37 56188 15.4 1700 73
## 312 9.2300263 96 1569 36.3 4 96
## 313 156.2847968 75 0 39.6 0 78
## 314 52.3017222 99 0 5.8 3 99
## 315 167.3280168 58 45 5.1 1 96
## 316 12.8344736 95 7 36.2 3 96
## 317 750.7147641 93 0 55.4 1 99
## 318 39.4466672 95 129 15.4 38 95
## 319 60.3368571 6 228 NA 99 77
## 320 29.6852937 81 0 47.0 4 81
## 321 0.0000000 93 43 65.1 32 93
## 322 53.2377598 8 60 21.8 62 81
## 323 269.1432784 99 1 4.2 0 99
## 324 924.5653683 93 68 65.9 0 93
## 325 3779.6552730 29 5185 55.8 4 97
## 326 0.0000000 98 7 61.8 0 98
## 327 5596.5352030 97 297 62.3 2 97
## 328 54.2373183 95 0 58.4 24 95
## 329 1185.4123460 88 0 51.4 1 89
## 330 2598.8428270 92 53 56.0 1 94
## 331 5.0646890 96 19 13.9 9 96
## 332 14714.8258800 NA 958 55.0 0 96
## 333 469.6282925 98 4 53.9 4 98
## 334 34.2621688 68 212 27.9 45 71
## 335 726.0291764 87 0 61.3 0 91
## 336 3.3364380 8 12289 2.7 63 8
## 337 121.4812077 NA 49 3.6 2 72
## 338 253.8196705 99 305 53.2 0 95
## 339 6386.9543700 95 285 59.7 0 95
## 340 2503.7142580 NA 0 54.1 0 95
## 341 0.0000000 97 4 59.1 0 98
## 342 0.0000000 99 0 47.7 0 86
## 343 570.4532468 93 0 51.5 13 92
## 344 17.8212188 NA 5 62.4 1 99
## 345 623.2120325 98 11 57.4 3 98
## 346 38.1090426 NA 0 38.5 24 6
## 347 638.0001097 96 148 32.1 0 96
## 348 0.0000000 98 7 58.5 0 97
## 349 418.9206608 83 0 51.1 0 84
## 350 249.3262948 NA 0 42.4 19 84
## 351 1055.8354930 98 13 52.3 1 99
## 352 311.7553193 97 0 49.3 4 97
## 353 11.1360875 98 0 26.2 0 99
## 354 0.0000000 79 32 19.4 12 78
## 355 150.4088750 82 0 62.1 37 83
## 356 186.6090485 96 0 46.9 93 99
## 357 24.4447371 95 321 52.3 5 95
## 358 6818.5464070 NA 0 59.7 0 89
## 359 6.6994187 NA 0 17.4 9 52
## 360 618.3614858 75 213 6.2 1 74
## 361 2.7909653 2 13344 12.9 50 76
## 362 74.4603304 NA 992 34.0 28 5
## 363 96.5465827 66 341 21.9 88 72
## 364 650.9813544 NA 0 53.9 0 96
## 365 2377.0102990 89 0 55.5 1 93
## 366 25.2504092 NA 0 41.7 20 82
## 367 53.6127864 NA 309 14.6 6 98
## 368 13.5299956 NA 3526 19.6 8 69
## 369 0.0000000 99 0 54.2 0 99
## 370 14.7192888 97 8 47.9 1 97
## 371 91.7115405 96 662 45.0 1 97
## 372 1133.5580030 91 2 61.0 10 99
## 373 41.5084564 87 0 43.8 18 87
## Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 7.84 97 1.2 843.89447 159328
## 2 8.46 98 0.1 35245.16470 1622532
## 3 7.81 95 0.1 37582.84624 82157
## 4 1.79 95 0.1 5376.44762 NA
## 5 NA 96 0.3 17321.83373 13692
## 6 3.43 76 8.0 763.66223 1586754
## 7 5.30 93 0.2 522.49319 29373646
## 8 2.15 97 0.1 8834.87958 NA
## 9 1.78 82 0.6 296.97284 48846474
## 10 7.57 91 0.1 15472.78140 NA
## 11 5.89 96 0.1 3853.33348 312
## 12 4.26 99 0.1 3369.48247 851967
## 13 6.35 95 0.1 741.48438 NA
## 14 NA 77 0.1 NA 24939299
## 15 5.10 79 0.1 3851.43787 85813
## 16 5.81 96 0.5 833.31332 52613
## 17 4.11 99 0.3 4212.54920 66881867
## 18 NA 95 0.1 NA NA
## 19 9.10 97 0.1 3751.64946 5358783
## 20 6.55 92 0.1 11326.21947 297555
## 21 6.50 99 0.1 2994.33999 NA
## 22 5.61 55 4.3 387.94297 9119178
## 23 2.10 99 0.1 2275.35360 NA
## 24 6.33 88 0.3 124.99262 545211
## 25 12.23 82 0.1 1413.32340 9844
## 26 1.40 85 0.1 46586.65250 8295487
## 27 5.31 94 0.1 1413.75718 29512368
## 28 5.92 92 0.1 2246.25747 42152151
## 29 3.42 96 0.1 13739.82945 NA
## 30 7.40 99 0.1 3215.81590 19876
## 31 7.00 98 0.1 4271.68172 1114398
## 32 5.36 72 0.1 248.61835 24161777
## 33 3.75 82 0.9 631.67579 13676693
## 34 4.49 97 0.1 8643.49440 NA
## 35 7.61 94 0.3 2519.73739 5971535
## 36 3.37 99 0.1 1557.77892 91359
## 37 4.31 91 0.4 136.45180 1373513
## 38 4.67 76 0.1 655.97433 8486
## 39 6.60 95 0.1 7748.12331 11555228
## 40 4.47 49 0.1 2571.26235 179929
## 41 8.18 96 0.1 14157.14416 442978
## 42 4.73 63 2.0 459.29120 113517
## 43 4.47 99 0.1 NA NA
## 44 NA 96 0.2 1624.63963 195553
## 45 8.42 77 0.1 5339.44129 3986852
## 46 7.95 97 0.1 NA NA
## 47 5.38 98 0.1 12542.93565 75787333
## 48 5.61 74 0.1 1391.81692 2631669
## 49 NA 97 0.1 1979.52569 78271472
## 50 3.12 8 3.4 373.28155 2446782
## 51 6.66 99 0.1 948.65925 481422
## 52 5.32 96 0.1 2346.59370 9864326
## 53 1.37 94 0.1 1763.81550 16613
## 54 9.30 74 0.1 5425.66970 371464
## 55 6.00 97 0.1 1326.97339 36173
## 56 4.98 98 0.1 24983.37920 NA
## 57 4.14 57 0.2 NA NA
## 58 5.79 95 0.2 4688.53844 344181
## 59 2.22 84 0.5 1171.58257 5986514
## 60 5.70 6 3.3 55.47626 949457
## 61 NA 96 0.1 NA NA
## 62 9.28 97 0.1 34814.12436 59539717
## 63 7.67 89 0.1 4669.69160 NA
## 64 7.80 96 0.1 14539.18421 428622
## 65 4.69 5 2.8 243.32682 8149
## 66 7.85 96 0.1 32289.35540 127445
## 67 6.48 96 0.1 NA NA
## 68 5.87 99 0.1 437.53965 2947314
## 69 8.00 97 0.1 3488.39920 127718
## 70 6.31 72 0.1 3192.66938 NA
## 71 2.79 72 0.1 126.92883 22671273
## 72 5.76 93 0.2 NA NA
## 73 3.86 98 0.1 2533.94620 NA
## 74 4.15 74 0.4 461.72372 22961146
## 75 8.35 98 0.1 2762.86354 6193191
## 76 7.86 92 2.9 196.24726 8212264
## 77 9.39 89 0.1 3779.57700 NA
## 78 5.72 75 0.2 317.89198 2564287
## 79 1.90 6 3.0 178.92799 3375838
## 80 5.91 88 0.1 87.93877 5896
## 81 3.80 99 0.1 12868.21100 NA
## 82 6.52 99 0.1 NA NA
## 83 5.31 95 0.1 154.68923 17461
## 84 7.22 78 3.2 719.17267 38833338
## 85 6.22 95 0.1 12297.91535 3231294
## 86 8.82 96 1.9 231.19433 876693
## 87 6.98 5 0.2 3569.75727 45761
## 88 4.23 99 0.1 3651.96678 85995
## 89 17.20 94 0.1 NA NA
## 90 6.35 98 0.1 14341.67500 3811735
## 91 4.86 99 0.1 1312.46692 NA
## 92 6.77 87 0.4 1872.73783 12796925
## 93 6.18 99 0.1 4129.97733 1521834
## 94 6.29 43 2.5 269.34838 196769
## 95 3.80 2 4.4 192.59733 1129424
## 96 8.50 93 0.1 2968.41186 378153
## 97 3.00 88 3.6 263.11247 18938762
## 98 5.30 91 4.6 NA NA
## 99 7.93 95 0.1 7674.86559 7265115
## 100 1.15 95 0.1 1724.36174 18535
## 101 8.12 95 0.1 2327.45910 125125
## 102 7.43 98 0.1 24913.24452 51888
## 103 3.31 24 4.4 84.45594 1152786
## 104 8.57 92 0.1 4142.86917 3825
## 105 7.53 98 0.4 76.56995 11345357
## 106 4.23 64 0.3 118.16637 1179681239
## 107 7.85 99 0.1 NA NA
## 108 2.28 88 0.3 1262.89378 51924182
## 109 6.83 94 0.1 1139.56510 3987
## 110 NA 6 0.5 814.54640 171161
## 111 3.21 6 2.3 437.44672 1323142
## 112 7.95 99 0.1 8289.69641 465158
## 113 5.64 99 0.1 3371.71231 1196136
## 114 NA 69 0.3 41.85760 2423488
## 115 NA 91 0.1 NA NA
## 116 7.70 89 0.4 2256.56724 133978
## 117 7.26 98 0.1 4199.47253 1114558
## 118 NA 89 0.1 6461.19255 622159
## 119 5.92 84 0.8 5761.39536 5975
## 120 7.25 85 0.1 1589.82713 3772938
## 121 5.47 48 4.8 393.16327 8834733
## 122 5.64 88 0.3 882.49146 14537886
## 123 3.55 99 0.1 2458.45226 NA
## 124 3.74 99 0.1 478.82327 834812
## 125 5.88 98 0.1 4575.76379 288914
## 126 3.60 97 0.1 16468.12886 NA
## 127 6.65 95 0.4 2794.22189 146366
## 128 3.54 86 0.1 2598.98230 3283196
## 129 3.48 93 0.1 2259.55796 815691
## 130 5.63 99 0.1 431.93260 147336
## 131 3.40 94 0.1 4167.36439 24198811
## 132 4.26 87 2.0 3681.59930 9237566
## 133 6.14 88 0.1 339.71626 NA
## 134 6.10 74 5.7 481.69498 1445958
## 135 5.36 95 0.1 2761.96925 9939678
## 136 8.43 94 0.1 74114.69715 466677
## 137 7.22 99 0.1 24253.25420 517629
## 138 6.80 98 0.1 NA NA
## 139 2.38 99 0.1 3549.26132 NA
## 140 2.76 45 10.9 6741.29395 143126
## 141 6.21 93 0.1 16523.32388 NA
## 142 4.70 96 0.1 265.35366 271265
## 143 5.30 94 2.6 19.68672 227212
## 144 7.83 89 0.1 88.87486 469885
## 145 3.36 8 1.2 1364.28374 383239
## 146 6.83 91 0.3 3366.48213 6137276
## 147 6.32 61 2.3 334.22416 11638929
## 148 8.30 96 1.0 282.75553 96186
## 149 3.28 71 0.1 1469.84915 18563
## 150 NA 73 0.9 1158.25647 4182341
## 151 11.40 97 0.1 51574.48942 1684432
## 152 6.54 98 0.1 414.15177 1639931
## 153 6.52 89 0.1 2594.74999 1141
## 154 17.14 95 0.1 NA NA
## 155 7.25 94 0.1 6586.71929 6261
## 156 9.42 96 0.1 35849.37364 59277417
## 157 6.42 9 0.1 146.93113 49294
## 158 1.27 83 0.1 26351.37568 881957
## 159 6.88 99 0.1 12599.52486 3842794
## 160 1.90 8 0.1 5253.12260 3359859
## 161 4.72 94 0.7 95.39785 11873557
## 162 5.71 85 50.6 22.99449 187392
## 163 3.25 45 0.1 NA 24271
## 164 5.91 88 0.7 699.45285 1772723
## 165 3.61 8 2.0 NA NA
## 166 2.79 62 0.1 533.86241 138523285
## 167 5.53 79 2.3 2372.62883 896776
## 168 8.20 84 0.1 NA NA
## 169 6.42 72 1.5 77.57735 631479
## 170 5.21 85 2.6 562.33936 6679282
## 171 6.40 99 0.1 1378.54911 384196
## 172 9.42 92 0.1 62214.69120 2346694
## 173 NA NA 2.7 NA 67656
## 174 8.50 83 8.7 4153.49788 21374
## 175 4.53 96 1.5 3679.99523 26913
## 176 5.87 71 5.6 418.94454 1412669
## 177 NA 16 4.2 1347.31257 1175389
## 178 4.67 93 1.1 1945.63950 74961
## 179 9.41 99 0.1 28827.32636 1148473
## 180 1.21 75 0.1 1684.54274 11458
## 181 2.48 94 0.1 3161.52935 NA
## 182 4.99 96 0.1 NA NA
## 183 4.72 87 0.1 158.66846 129675
## 184 4.13 65 0.1 1849.63911 278426
## 185 5.63 97 0.1 3112.83529 11761
## 186 6.35 96 0.1 1526.87746 16491687
## 187 7.61 89 0.1 1417.26582 546624
## 188 1.42 99 0.1 1692.61328 14656
## 189 1.87 84 0.5 1186.42394 555331
## 190 17.20 95 0.1 NA NA
## 191 5.58 97 1.4 NA NA
## 192 3.50 99 0.1 188.44826 NA
## 193 11.17 92 0.1 48333.57273 8429991
## 194 8.43 97 0.1 38969.17163 524696
## 195 9.46 89 0.1 535.86555 364999
## 196 6.67 91 0.1 15534.15740 NA
## 197 2.76 98 0.1 21268.75640 NA
## 198 4.48 93 0.1 3994.71236 29622
## 199 1.29 95 0.1 72119.56870 7647675
## 200 1.52 91 0.1 1493.16510 12652
## 201 3.10 73 0.2 1855.93915 232989141
## 202 7.76 36 0.1 187.84595 21979923
## 203 6.48 95 0.1 NA NA
## 204 7.47 76 0.2 3855.42128 455933
## 205 4.30 98 0.1 1389.85610 1735275
## 206 9.10 96 0.1 2921.93420 466245
## 207 9.69 92 0.1 NA NA
## 208 7.49 98 0.1 NA NA
## 209 3.23 45 10.1 3976.14887 1262259
## 210 5.40 53 3.6 39.48675 1267512
## 211 3.80 63 2.4 49.45678 196727
## 212 6.75 87 0.8 852.95438 759385
## 213 6.34 77 1.9 487.94256 12798763
## 214 4.22 65 0.1 NA NA
## 215 5.33 81 0.1 5842.85784 954332
## 216 3.25 41 0.1 NA 1989141
## 217 6.17 86 0.1 1595.91232 NA
## 218 11.20 89 0.1 47447.47620 345274
## 219 6.12 98 0.1 279.14293 311487
## 220 9.42 89 0.1 3988.11894 6293783
## 221 4.11 36 5.4 87.89387 138939478
## 222 7.73 94 0.1 32569.59683 7915
## 223 9.77 97 0.1 22465.64184 6912498
## 224 5.63 45 5.0 413.73832 8692567
## 225 6.46 94 0.1 555.53567 3415213
## 226 4.60 82 0.1 445.18866 14577
## 227 6.30 98 0.1 1453.64278 3511
## 228 7.91 97 2.3 563.49149 1246842
## 229 7.34 99 0.1 114293.84330 48865
## 230 9.98 93 0.1 18784.94850 15333
## 231 7.18 99 0.1 16749.13600 53946
## 232 16.20 96 0.1 NA NA
## 233 8.70 97 0.1 3743.55917 5339616
## 234 5.41 96 0.1 12127.22522 773628
## 235 3.48 45 11.0 4892.11618 1328146
## 236 1.50 77 0.1 5436.59522 3522837
## 237 3.45 96 0.1 42112.23565 NA
## 238 8.37 95 0.1 418.29218 3774
## 239 9.10 97 0.1 11729.14616 1362722
## 240 2.67 3 2.4 NA NA
## 241 5.30 88 0.2 NA NA
## 242 6.90 26 4.8 197.31564 866312
## 243 3.58 96 0.1 11138.87460 NA
## 244 6.82 99 0.1 NA NA
## 245 2.74 99 0.1 1928.74739 NA
## 246 4.25 65 0.3 792.25970 1161977719
## 247 4.18 95 0.1 1332.38236 28849621
## 248 3.39 62 2.0 NA NA
## 249 2.91 77 0.1 711.46995 15399667
## 250 NA 95 0.1 4132.76292 39871528
## 251 5.91 46 3.1 183.41500 2884522
## 252 7.89 94 0.7 1592.57218 777972
## 253 2.49 99 0.1 2986.36000 NA
## 254 4.22 95 1.5 4313.16820 276279
## 255 NA 4 0.9 NA NA
## 256 4.49 99 0.1 546.37280 88586
## 257 6.76 88 0.1 625.65544 4591897
## 258 6.84 98 0.1 4251.57435 38728696
## 259 6.40 91 0.1 511.36848 15262754
## 260 5.32 43 7.3 1653.29370 99111
## 261 4.69 99 0.1 251.18329 NA
## 262 1.39 96 0.1 45699.19832 821197
## 263 7.10 92 0.1 5148.42211 45416181
## 264 1.42 98 0.1 4772.77415 1147744
## 265 17.00 95 0.1 NA NA
## 266 8.42 92 0.1 NA NA
## 267 9.38 96 0.1 24633.79785 239669
## 268 8.75 91 0.1 4781.38880 323764
## 269 5.67 96 0.3 21.36239 14597683
## 270 1.50 55 0.1 478.33186 126484
## 271 6.48 97 0.1 4463.54587 15623635
## 272 6.39 49 2.4 36.84732 11293258
## 273 5.60 93 0.8 1976.45856 467664
## 274 4.92 79 0.1 NA NA
## 275 6.10 98 0.1 363.13685 29717
## 276 4.50 96 0.4 3419.27572 254984
## 277 6.83 95 0.1 NA NA
## 278 3.63 8 1.1 145.57838 394617
## 279 6.51 99 0.1 6351.81250 2263122
## 280 11.78 96 0.1 5484.77630 NA
## 281 5.64 9 0.1 818.44262 458324
## 282 4.63 52 0.5 473.45338 988452
## 283 7.25 91 0.1 3981.52847 3996798
## 284 5.26 51 1.1 477.47612 279359
## 285 5.22 94 1.0 129.51914 129535
## 286 2.16 75 0.4 1168.83947 51448196
## 287 8.17 98 0.1 2492.12878 482
## 288 9.54 99 0.1 15772.73340 1458821
## 289 7.47 94 0.1 15359.66971 NA
## 290 3.80 89 0.1 41.26997 29822
## 291 4.75 8 7.4 952.18725 1742795
## 292 16.90 94 0.1 NA NA
## 293 5.77 97 0.1 14672.88260 943286
## 294 6.57 97 0.3 3785.93566 75391
## 295 8.80 99 0.1 1259.52660 117146
## 296 8.64 94 0.1 NA NA
## 297 4.34 7 0.3 991.48463 119714696
## 298 7.18 97 0.1 4137.55421 1886668
## 299 5.86 99 0.1 2834.24720 3249639
## 300 2.38 94 0.1 3371.26869 NA
## 301 9.33 98 0.1 33228.69291 5375931
## 302 3.55 96 0.1 15334.66994 NA
## 303 8.25 97 0.1 1355.74586 4417781
## 304 8.83 78 0.1 5372.65899 45735
## 305 5.57 98 0.1 3194.56224 112482
## 306 9.89 97 0.1 22527.31775 61357431
## 307 6.40 95 0.1 4146.98793 344367
## 308 7.10 23 0.2 314.65830 45271947
## 309 8.85 92 0.1 NA NA
## 310 1.92 9 0.5 987.73658 5155896
## 311 4.38 74 0.2 19.31777 121427132
## 312 3.89 96 0.1 145.12620 28635128
## 313 6.90 78 0.1 784.95629 435262
## 314 6.32 99 0.3 334.83817 683475
## 315 9.14 96 0.1 1152.39681 1289898
## 316 6.27 95 4.4 729.23145 289315
## 317 1.42 93 0.1 5184.49423 NA
## 318 6.83 95 7.1 287.93188 8991735
## 319 3.93 78 0.2 893.87936 316764
## 320 7.90 81 0.4 248.41250 59433
## 321 15.57 96 0.1 NA NA
## 322 3.96 8 3.2 423.19364 2986536
## 323 2.65 99 0.1 4159.86520 NA
## 324 11.53 93 0.1 3997.25624 NA
## 325 1.22 97 0.1 24275.24260 6185267
## 326 6.69 98 0.1 NA NA
## 327 8.80 97 0.1 35578.73619 4595416
## 328 7.21 95 0.1 547.85170 39113313
## 329 7.82 89 0.1 5245.18737 438794
## 330 2.72 94 0.1 31311.35936 NA
## 331 2.97 96 1.6 276.75896 39697
## 332 11.00 95 0.1 69672.47100 7743831
## 333 5.64 98 0.1 3778.18417 129887
## 334 5.12 7 26.8 414.79623 13124267
## 335 6.42 91 0.1 7378.34529 62181
## 336 3.70 78 3.5 39.48447 19924522
## 337 7.50 72 3.7 965.66938 79628
## 338 3.35 94 0.1 2835.97397 816628
## 339 8.15 95 0.1 52567.52568 4576794
## 340 8.50 95 0.1 18169.18910 2474
## 341 6.70 98 0.1 NA NA
## 342 NA 99 0.2 13566.95410 NA
## 343 5.36 93 0.3 4166.93387 29157
## 344 7.84 99 0.1 1448.87958 9971727
## 345 7.15 98 0.1 4256.91279 1761467
## 346 4.41 6 3.9 465.31188 926344
## 347 3.93 96 0.1 53166.67581 NA
## 348 6.76 95 0.1 NA NA
## 349 6.78 83 0.6 3595.88550 498946
## 350 6.88 84 0.4 1753.34947 125478
## 351 2.52 98 0.1 22134.91600 NA
## 352 9.15 97 0.4 2136.77395 8657785
## 353 6.65 98 0.9 199.57146 17813
## 354 2.12 79 0.3 NA NA
## 355 6.30 83 0.1 1298.86766 122535969
## 356 7.70 99 0.1 3623.47667 184738458
## 357 4.36 95 0.1 1286.56511 17289224
## 358 8.68 89 0.1 44333.85180 32716
## 359 4.94 49 3.1 297.75194 1243229
## 360 8.91 75 0.1 5424.22356 3863267
## 361 5.48 78 0.1 253.72412 2495623
## 362 6.60 41 5.1 462.48652 85492
## 363 6.47 66 1.5 777.34769 16667
## 364 9.51 96 0.1 4458.77640 539574
## 365 9.66 88 0.1 8199.41462 454528
## 366 6.71 82 0.3 171.77149 1228848
## 367 3.81 98 0.1 837.69979 18797
## 368 5.41 64 5.0 393.31382 135345
## 369 7.76 99 0.1 NA NA
## 370 6.27 97 0.1 189.68156 339616
## 371 6.26 97 0.1 1175.78898 38927
## 372 5.20 91 0.1 12969.77120 4296739
## 373 6.79 87 0.4 277.83438 139628
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 6.9 6.8 0.521
## 2 1.1 1.0 0.881
## 3 1.2 1.1 0.895
## 4 3.4 3.2 0.771
## 5 5.7 5.9 0.779
## 6 6.7 6.5 0.652
## 7 1.1 1.1 0.708
## 8 5.1 4.7 0.843
## 9 13.2 13.5 0.474
## 10 3.8 3.8 0.792
## 11 14.5 14.6 0.617
## 12 4.0 3.7 0.704
## 13 3.8 3.8 0.741
## 14 5.5 5.3 0.614
## 15 2.8 2.9 0.708
## 16 3.5 3.4 0.700
## 17 8.3 8.5 0.706
## 18 0.8 0.6 NA
## 19 1.3 1.0 0.862
## 20 2.2 2.3 0.815
## 21 3.5 3.3 0.692
## 22 4.5 4.5 0.450
## 23 6.9 6.8 0.765
## 24 2.0 1.9 0.597
## 25 0.2 0.1 0.572
## 26 1.7 1.9 0.860
## 27 6.6 6.5 0.540
## 28 2.5 2.2 0.659
## 29 7.2 7.3 0.761
## 30 0.9 1.0 0.849
## 31 6.5 6.4 0.722
## 32 18.3 19.0 0.446
## 33 11.3 11.5 0.495
## 34 7.3 7.3 0.742
## 35 2.0 1.9 0.628
## 36 5.7 6.0 0.766
## 37 1.0 9.9 0.463
## 38 3.2 3.1 0.636
## 39 1.7 1.6 0.738
## 40 0.2 0.2 0.671
## 41 1.7 1.6 0.803
## 42 8.0 8.0 0.385
## 43 7.8 7.9 0.660
## 44 5.5 5.3 0.565
## 45 4.7 4.6 0.000
## 46 2.5 2.6 0.000
## 47 4.9 4.7 0.754
## 48 5.4 5.2 0.603
## 49 4.9 4.8 0.764
## 50 8.6 8.5 0.489
## 51 1.3 1.3 0.470
## 52 6.5 6.4 0.662
## 53 0.1 0.1 0.581
## 54 4.8 4.7 0.000
## 55 2.1 2.1 0.662
## 56 6.1 6.0 0.820
## 57 9.9 9.9 0.503
## 58 3.4 3.4 0.706
## 59 13.0 13.2 0.533
## 60 4.3 4.3 0.455
## 61 1.2 1.2 0.842
## 62 0.5 0.6 0.877
## 63 3.4 3.2 0.732
## 64 1.6 1.5 0.808
## 65 11.3 11.0 0.362
## 66 1.7 1.4 0.860
## 67 3.3 3.4 0.656
## 68 1.6 1.6 0.713
## 69 1.7 1.4 0.863
## 70 3.5 3.3 0.694
## 71 1.9 1.9 0.629
## 72 1.2 1.1 0.636
## 73 7.5 7.4 0.818
## 74 7.3 7.2 0.508
## 75 3.8 3.8 0.736
## 76 7.9 7.9 0.319
## 77 3.4 3.3 0.719
## 78 17.6 18.2 0.469
## 79 8.1 8.1 0.377
## 80 18.9 19.6 0.000
## 81 6.2 6.0 0.794
## 82 2.0 2.1 NA
## 83 0.2 0.2 0.640
## 84 5.7 5.6 0.483
## 85 2.9 3.0 0.812
## 86 7.7 7.7 0.361
## 87 2.4 2.5 0.734
## 88 4.0 3.7 0.706
## 89 0.7 0.6 NA
## 90 1.9 2.1 0.850
## 91 3.4 3.3 0.788
## 92 1.4 1.4 0.564
## 93 6.3 6.3 0.706
## 94 11.0 1.9 0.291
## 95 8.5 8.4 0.582
## 96 2.9 2.9 0.000
## 97 9.2 9.2 0.480
## 98 7.1 7.1 NA
## 99 1.9 1.9 0.781
## 100 0.1 0.1 0.589
## 101 0.8 0.8 0.869
## 102 0.9 0.8 0.856
## 103 9.6 9.5 0.343
## 104 2.6 2.8 0.749
## 105 5.8 5.8 0.488
## 106 27.1 28.0 0.546
## 107 1.9 2.0 NA
## 108 12.9 13.1 0.547
## 109 0.8 0.7 0.779
## 110 3.9 3.9 0.490
## 111 8.6 8.6 0.371
## 112 1.0 0.9 0.874
## 113 6.3 6.3 0.689
## 114 7.1 7.1 0.511
## 115 2.1 2.1 0.746
## 116 1.4 1.4 0.570
## 117 6.4 6.3 0.720
## 118 1.8 1.8 0.804
## 119 3.5 3.4 0.684
## 120 1.9 1.9 0.765
## 121 4.6 4.7 0.444
## 122 11.0 11.2 0.533
## 123 7.1 6.9 0.796
## 124 4.1 3.8 0.698
## 125 1.2 1.3 0.761
## 126 6.8 6.2 0.819
## 127 1.3 1.3 0.589
## 128 6.2 6.1 0.673
## 129 4.2 3.9 0.687
## 130 6.3 6.3 0.701
## 131 9.5 9.3 0.723
## 132 3.5 3.4 0.668
## 133 3.4 3.3 0.705
## 134 8.7 8.6 0.394
## 135 6.4 6.3 0.667
## 136 0.8 0.7 0.931
## 137 0.9 0.9 0.847
## 138 2.2 2.3 NA
## 139 3.2 3.1 0.789
## 140 7.2 7.1 0.640
## 141 3.8 3.8 0.779
## 142 2.2 2.3 0.693
## 143 7.7 7.6 0.519
## 144 1.3 1.3 0.465
## 145 8.3 8.1 0.491
## 146 1.7 1.6 0.662
## 147 1.5 1.5 0.308
## 148 7.4 7.4 0.398
## 149 1.7 1.7 0.000
## 150 7.8 7.5 0.513
## 151 1.0 0.9 0.922
## 152 6.3 6.3 0.710
## 153 0.1 0.1 0.694
## 154 0.8 0.6 NA
## 155 1.9 1.9 0.797
## 156 0.5 0.5 0.869
## 157 1.2 1.2 0.482
## 158 1.7 1.9 0.847
## 159 2.1 2.2 0.822
## 160 4.9 4.7 0.000
## 161 11.0 1.9 0.425
## 162 8.2 8.4 0.493
## 163 6.3 6.1 0.645
## 164 8.4 7.9 0.392
## 165 1.2 1.2 0.377
## 166 22.2 22.6 0.445
## 167 3.6 3.5 0.665
## 168 0.2 0.2 0.608
## 169 1.4 1.4 0.446
## 170 7.1 7.0 0.457
## 171 2.0 2.1 0.838
## 172 0.6 0.6 0.936
## 173 NA NA 0.000
## 174 1.9 1.9 0.598
## 175 3.6 3.6 0.684
## 176 8.9 8.8 0.388
## 177 8.4 8.3 0.582
## 178 5.7 5.5 0.622
## 179 0.8 0.7 0.855
## 180 0.1 0.1 0.597
## 181 5.3 5.1 0.798
## 182 3.5 3.5 0.712
## 183 5.1 4.6 0.622
## 184 5.4 5.2 0.628
## 185 6.4 6.3 0.673
## 186 0.9 0.9 0.797
## 187 2.5 2.4 0.624
## 188 0.1 0.1 0.585
## 189 13.0 13.3 0.526
## 190 0.7 0.6 NA
## 191 6.8 6.6 NA
## 192 6.8 6.3 0.818
## 193 1.8 2.0 0.884
## 194 0.9 0.8 0.864
## 195 2.4 2.4 0.735
## 196 3.8 3.8 0.780
## 197 7.0 6.8 0.796
## 198 2.1 2.1 0.739
## 199 0.5 0.4 0.914
## 200 0.1 0.1 0.584
## 201 1.8 1.7 0.638
## 202 19.9 2.2 0.341
## 203 2.2 2.2 0.743
## 204 2.4 2.4 0.739
## 205 2.4 2.5 0.782
## 206 0.6 0.5 0.874
## 207 0.2 0.2 0.612
## 208 1.8 1.9 NA
## 209 7.8 7.7 0.633
## 210 1.0 1.0 0.000
## 211 8.9 8.8 0.364
## 212 6.8 6.6 0.497
## 213 9.9 9.7 0.338
## 214 14.0 14.0 0.450
## 215 2.8 2.9 0.737
## 216 6.3 6.1 0.635
## 217 3.8 3.8 0.781
## 218 0.5 0.4 0.898
## 219 1.8 1.8 0.685
## 220 2.1 2.0 0.675
## 221 12.9 12.9 0.463
## 222 1.2 1.1 0.889
## 223 0.7 0.6 0.844
## 224 4.7 4.7 0.443
## 225 3.2 3.2 0.780
## 226 0.1 0.1 0.712
## 227 2.0 2.1 0.670
## 228 6.5 6.3 0.454
## 229 0.9 0.9 0.887
## 230 0.7 0.6 0.790
## 231 0.9 0.9 0.892
## 232 0.7 0.6 NA
## 233 1.3 1.0 0.860
## 234 4.9 4.7 0.759
## 235 7.5 7.4 0.638
## 236 4.8 4.7 0.000
## 237 5.1 5.0 0.826
## 238 2.8 2.8 0.703
## 239 0.8 0.6 0.782
## 240 12.2 12.1 NA
## 241 1.4 1.3 0.617
## 242 11.3 11.2 0.300
## 243 7.2 7.3 0.754
## 244 1.9 2.0 NA
## 245 6.9 6.8 0.797
## 246 27.1 28.0 0.536
## 247 6.7 6.6 0.519
## 248 11.3 11.1 NA
## 249 21.2 21.7 0.487
## 250 6.0 5.8 0.743
## 251 9.2 9.2 0.338
## 252 2.4 2.3 0.590
## 253 6.9 6.8 0.797
## 254 1.9 1.7 0.709
## 255 7.3 7.1 NA
## 256 4.0 3.7 0.727
## 257 2.2 2.0 0.695
## 258 1.1 1.0 0.775
## 259 1.1 1.1 0.755
## 260 9.2 9.2 0.590
## 261 6.1 6.0 0.815
## 262 1.1 1.1 0.903
## 263 2.2 2.0 0.691
## 264 0.9 0.9 0.884
## 265 0.7 0.6 NA
## 266 0.7 0.5 NA
## 267 1.7 1.7 0.873
## 268 1.0 0.9 0.907
## 269 2.8 3.0 0.720
## 270 12.0 11.9 0.492
## 271 1.0 1.0 0.768
## 272 1.8 1.7 0.297
## 273 8.7 8.7 0.574
## 274 13.8 13.8 0.477
## 275 1.6 1.7 0.703
## 276 3.7 3.7 0.677
## 277 2.3 2.3 0.732
## 278 8.1 7.9 0.501
## 279 2.5 2.6 0.776
## 280 3.4 3.2 0.782
## 281 1.3 1.3 0.459
## 282 12.3 12.3 0.378
## 283 2.3 2.2 0.708
## 284 1.9 1.7 0.443
## 285 6.3 6.8 0.736
## 286 12.9 13.2 0.540
## 287 2.7 2.9 0.722
## 288 0.7 0.6 0.789
## 289 3.8 3.7 0.793
## 290 2.0 2.1 0.721
## 291 6.9 7.0 0.456
## 292 0.7 0.6 NA
## 293 0.9 1.0 0.798
## 294 5.6 5.3 0.630
## 295 2.1 2.1 0.793
## 296 2.6 2.6 0.000
## 297 27.0 27.9 0.556
## 298 6.4 6.3 0.717
## 299 6.3 6.2 0.603
## 300 5.4 5.1 0.791
## 301 1.2 1.0 0.875
## 302 7.2 7.3 0.767
## 303 1.6 1.6 0.803
## 304 4.7 4.6 0.733
## 305 6.4 6.3 0.683
## 306 0.7 0.6 0.849
## 307 3.3 3.3 0.770
## 308 2.3 2.4 0.746
## 309 0.8 0.5 NA
## 310 13.1 13.3 0.515
## 311 27.0 27.8 0.563
## 312 8.0 7.8 0.774
## 313 1.4 1.4 0.446
## 314 1.8 1.7 0.657
## 315 0.8 0.6 0.777
## 316 7.3 7.0 0.687
## 317 3.4 3.2 0.754
## 318 6.8 7.0 0.388
## 319 NA NA 0.430
## 320 2.0 1.9 0.621
## 321 0.7 0.6 NA
## 322 8.4 8.3 0.491
## 323 5.7 5.2 0.863
## 324 0.3 0.3 0.904
## 325 0.7 0.6 0.851
## 326 2.0 2.1 NA
## 327 0.6 0.5 0.854
## 328 6.0 5.8 0.741
## 329 2.0 1.9 0.727
## 330 5.3 5.0 0.803
## 331 9.4 9.5 0.000
## 332 0.5 0.4 0.916
## 333 6.3 6.3 0.695
## 334 8.6 8.6 0.408
## 335 1.8 1.9 0.803
## 336 8.8 8.8 0.484
## 337 5.8 5.7 0.405
## 338 4.2 3.9 0.689
## 339 0.3 0.2 0.909
## 340 1.9 2.0 0.853
## 341 2.2 2.2 0.741
## 342 3.3 3.3 0.784
## 343 1.2 1.2 0.706
## 344 1.7 1.7 0.821
## 345 6.4 6.3 0.714
## 346 4.4 4.4 0.452
## 347 2.1 2.1 0.911
## 348 2.2 2.2 0.739
## 349 3.5 3.4 0.672
## 350 1.4 1.4 0.560
## 351 7.0 6.8 0.797
## 352 2.2 2.1 0.614
## 353 6.3 6.2 0.533
## 354 9.1 9.2 0.554
## 355 1.6 1.5 0.753
## 356 3.2 3.2 0.695
## 357 2.4 2.5 0.789
## 358 1.0 0.9 0.901
## 359 1.2 1.2 0.000
## 360 4.7 4.6 0.000
## 361 18.0 18.6 0.457
## 362 4.8 4.8 0.439
## 363 8.3 8.1 0.411
## 364 1.2 1.0 0.882
## 365 1.8 1.8 0.749
## 366 1.5 1.5 0.553
## 367 15.4 15.6 0.686
## 368 9.4 9.3 0.000
## 369 1.3 1.4 0.802
## 370 1.9 2.0 0.674
## 371 2.1 2.2 0.656
## 372 1.0 0.9 0.822
## 373 1.4 1.4 0.567
## Schooling
## 1 10.2
## 2 16.5
## 3 16.0
## 4 17.1
## 5 12.7
## 6 12.4
## 7 13.3
## 8 13.4
## 9 8.0
## 10 15.3
## 11 12.2
## 12 14.5
## 13 15.8
## 14 9.1
## 15 11.6
## 16 12.3
## 17 13.0
## 18 NA
## 19 16.2
## 20 16.0
## 21 12.5
## 22 8.1
## 23 11.9
## 24 11.0
## 25 11.6
## 26 15.2
## 27 8.8
## 28 11.6
## 29 12.4
## 30 14.1
## 31 14.7
## 32 9.0
## 33 10.3
## 34 12.0
## 35 12.0
## 36 13.2
## 37 8.3
## 38 10.1
## 39 12.5
## 40 12.6
## 41 14.2
## 42 8.4
## 43 11.6
## 44 11.2
## 45 13.7
## 46 11.9
## 47 14.4
## 48 9.8
## 49 14.5
## 50 7.9
## 51 8.4
## 52 13.3
## 53 11.9
## 54 14.8
## 55 10.6
## 56 14.5
## 57 9.0
## 58 12.9
## 59 9.1
## 60 8.3
## 61 15.0
## 62 16.6
## 63 14.7
## 64 14.5
## 65 7.1
## 66 14.7
## 67 12.8
## 68 12.0
## 69 14.8
## 70 12.9
## 71 11.1
## 72 13.8
## 73 14.5
## 74 10.3
## 75 13.6
## 76 7.9
## 77 14.2
## 78 9.4
## 79 10.0
## 80 7.6
## 81 13.3
## 82 NA
## 83 12.1
## 84 10.0
## 85 16.4
## 86 9.3
## 87 14.9
## 88 14.6
## 89 NA
## 90 16.4
## 91 14.2
## 92 9.3
## 93 14.4
## 94 4.4
## 95 9.2
## 96 12.5
## 97 7.7
## 98 NA
## 99 14.4
## 100 11.9
## 101 18.0
## 102 17.7
## 103 6.3
## 104 13.4
## 105 10.8
## 106 9.9
## 107 NA
## 108 9.1
## 109 13.8
## 110 9.1
## 111 7.9
## 112 13.5
## 113 14.2
## 114 10.3
## 115 12.9
## 116 9.8
## 117 14.7
## 118 15.1
## 119 11.7
## 120 12.8
## 121 8.0
## 122 10.7
## 123 13.7
## 124 14.2
## 125 14.2
## 126 13.4
## 127 10.4
## 128 11.7
## 129 13.3
## 130 14.3
## 131 12.0
## 132 12.6
## 133 13.2
## 134 8.8
## 135 13.5
## 136 17.5
## 137 17.3
## 138 NA
## 139 14.2
## 140 12.4
## 141 15.5
## 142 14.3
## 143 9.1
## 144 8.3
## 145 7.8
## 146 12.8
## 147 4.9
## 148 10.5
## 149 9.6
## 150 8.5
## 151 18.1
## 152 14.4
## 153 14.6
## 154 NA
## 155 15.1
## 156 16.4
## 157 9.0
## 158 16.1
## 159 15.1
## 160 15.0
## 161 6.8
## 162 9.1
## 163 12.5
## 164 7.5
## 165 6.5
## 166 5.3
## 167 12.4
## 168 10.2
## 169 7.9
## 170 11.5
## 171 15.4
## 172 20.4
## 173 0.0
## 174 11.4
## 175 12.2
## 176 8.3
## 177 9.2
## 178 11.7
## 179 16.4
## 180 11.9
## 181 12.0
## 182 13.3
## 183 10.2
## 184 10.1
## 185 13.6
## 186 14.8
## 187 11.8
## 188 11.9
## 189 9.1
## 190 NA
## 191 NA
## 192 13.4
## 193 15.7
## 194 17.1
## 195 14.2
## 196 15.5
## 197 13.7
## 198 12.7
## 199 15.3
## 200 11.9
## 201 11.0
## 202 6.2
## 203 12.9
## 204 15.1
## 205 15.0
## 206 17.5
## 207 10.4
## 208 NA
## 209 12.3
## 210 6.7
## 211 7.6
## 212 11.1
## 213 5.8
## 214 8.0
## 215 11.7
## 216 13.0
## 217 15.8
## 218 15.9
## 219 10.8
## 220 12.3
## 221 8.9
## 222 15.9
## 223 15.7
## 224 7.9
## 225 15.8
## 226 14.4
## 227 10.7
## 228 10.0
## 229 13.5
## 230 15.4
## 231 13.9
## 232 NA
## 233 16.5
## 234 14.5
## 235 12.3
## 236 15.2
## 237 13.3
## 238 12.9
## 239 15.7
## 240 NA
## 241 14.4
## 242 4.9
## 243 12.3
## 244 NA
## 245 13.5
## 246 9.7
## 247 8.0
## 248 NA
## 249 6.1
## 250 14.4
## 251 8.7
## 252 10.9
## 253 13.6
## 254 12.5
## 255 NA
## 256 15.2
## 257 12.8
## 258 16.3
## 259 13.5
## 260 9.1
## 261 14.5
## 262 16.6
## 263 12.4
## 264 16.1
## 265 NA
## 266 NA
## 267 16.9
## 268 19.0
## 269 12.5
## 270 10.6
## 271 13.9
## 272 4.6
## 273 11.1
## 274 8.6
## 275 11.6
## 276 11.8
## 277 13.0
## 278 8.2
## 279 15.5
## 280 17.7
## 281 8.1
## 282 5.2
## 283 11.7
## 284 6.4
## 285 12.2
## 286 9.1
## 287 12.5
## 288 15.8
## 289 15.3
## 290 12.3
## 291 8.3
## 292 NA
## 293 12.5
## 294 10.6
## 295 15.3
## 296 11.9
## 297 10.2
## 298 14.6
## 299 10.7
## 300 11.8
## 301 16.6
## 302 12.5
## 303 14.2
## 304 13.2
## 305 13.9
## 306 15.6
## 307 15.3
## 308 15.2
## 309 NA
## 310 8.8
## 311 10.5
## 312 13.0
## 313 7.3
## 314 12.9
## 315 15.5
## 316 12.5
## 317 16.0
## 318 8.8
## 319 6.2
## 320 11.8
## 321 NA
## 322 7.7
## 323 15.0
## 324 19.5
## 325 15.5
## 326 NA
## 327 16.1
## 328 14.4
## 329 12.6
## 330 12.1
## 331 5.4
## 332 15.3
## 333 14.3
## 334 9.5
## 335 15.1
## 336 7.6
## 337 4.3
## 338 13.3
## 339 18.5
## 340 16.3
## 341 12.9
## 342 13.9
## 343 13.3
## 344 15.4
## 345 14.5
## 346 8.2
## 347 15.2
## 348 12.9
## 349 11.3
## 350 9.0
## 351 13.7
## 352 11.6
## 353 10.1
## 354 10.2
## 355 12.9
## 356 14.0
## 357 15.0
## 358 18.7
## 359 6.4
## 360 14.2
## 361 9.2
## 362 7.8
## 363 7.7
## 364 16.3
## 365 13.3
## 366 8.8
## 367 12.5
## 368 7.7
## 369 14.5
## 370 10.7
## 371 10.7
## 372 17.2
## 373 9.6train %>% filter(Adult.Mortality > 100)## Country Year Status Life.expectancy
## 1 Sudan 2010 Developing 62.5
## 2 Bangladesh 2013 Developing 71.0
## 3 Honduras 2012 Developing 74.1
## 4 Mali 2007 Developing 55.0
## 5 Ghana 2015 Developing 62.4
## 6 Guyana 2007 Developing 65.7
## 7 Botswana 2004 Developing 48.1
## 8 Ghana 2009 Developing 66.0
## 9 Kiribati 2015 Developing 66.3
## 10 Viet Nam 2002 Developing 73.8
## 11 Tajikistan 2002 Developing 64.3
## 12 Latvia 2008 Developed 71.9
## 13 Mauritius 2010 Developing 73.3
## 14 Tonga 2008 Developing 72.6
## 15 Nigeria 2014 Developing 53.6
## 16 Yemen 2014 Developing 65.4
## 17 Hungary 2003 Developed 72.5
## 18 The former Yugoslav republic of Macedonia 2009 Developing 74.4
## 19 Syrian Arab Republic 2015 Developing 64.5
## 20 Namibia 2013 Developing 66.1
## 21 Nicaragua 2011 Developing 74.5
## 22 Bolivia (Plurinational State of) 2011 Developing 69.3
## 23 Bahamas 2010 Developing 75.0
## 24 Barbados 2007 Developing 74.2
## 25 Jamaica 2000 Developing 72.6
## 26 Togo 2004 Developing 54.9
## 27 Romania 2015 Developed 75.0
## 28 Colombia 2004 Developing 72.8
## 29 Malaysia 2003 Developing 73.1
## 30 Democratic Republic of the Congo 2015 Developing 59.8
## 31 Bhutan 2010 Developing 67.9
## 32 Benin 2011 Developing 59.1
## 33 Lesotho 2003 Developing 45.5
## 34 Algeria 2007 Developing 73.8
## 35 Russian Federation 2013 Developing 70.0
## 36 Bolivia (Plurinational State of) 2004 Developing 65.1
## 37 Uruguay 2004 Developing 75.4
## 38 Swaziland 2001 Developing 47.1
## 39 Tonga 2003 Developing 72.0
## 40 Zimbabwe 2005 Developing 44.6
## 41 Philippines 2006 Developing 67.3
## 42 Central African Republic 2012 Developing 53.0
## 43 Afghanistan 2003 Developing 56.7
## 44 Republic of Moldova 2002 Developing 67.5
## 45 Philippines 2001 Developing 66.8
## 46 Djibouti 2014 Developing 63.0
## 47 Sri Lanka 2000 Developing 71.5
## 48 Jordan 2014 Developing 74.0
## 49 Guyana 2009 Developing 66.1
## 50 Thailand 2000 Developing 71.1
## 51 Slovakia 2006 Developed 74.3
## 52 Saint Lucia 2015 Developing 75.2
## 53 Guinea 2002 Developing 52.9
## 54 Libya 2015 Developing 72.7
## 55 Liberia 2005 Developing 55.3
## 56 Cambodia 2000 Developing 57.7
## 57 Republic of Moldova 2004 Developing 68.0
## 58 Guyana 2013 Developing 65.9
## 59 Bahamas 2011 Developing 75.0
## 60 Guinea 2015 Developing 59.0
## 61 Seychelles 2013 Developing 72.9
## 62 Congo 2014 Developing 64.2
## 63 Somalia 2015 Developing 55.0
## 64 Senegal 2005 Developing 65.0
## 65 Papua New Guinea 2009 Developing 61.6
## 66 Seychelles 2006 Developing 72.2
## 67 Equatorial Guinea 2003 Developing 53.8
## 68 Georgia 2011 Developing 73.9
## 69 Congo 2005 Developing 55.3
## 70 Cambodia 2003 Developing 63.0
## 71 Paraguay 2008 Developing 72.7
## 72 Azerbaijan 2009 Developing 78.0
## 73 Uruguay 2011 Developing 77.0
## 74 Samoa 2008 Developing 72.5
## 75 Samoa 2013 Developing 73.6
## 76 Suriname 2015 Developing 71.6
## 77 Pakistan 2002 Developing 63.2
## 78 Myanmar 2008 Developing 59.2
## 79 Kenya 2015 Developing 63.4
## 80 Georgia 2009 Developing 73.2
## 81 Georgia 2008 Developing 73.9
## 82 Swaziland 2002 Developing 46.4
## 83 Nigeria 2006 Developing 49.8
## 84 United States of America 2001 Developed 76.9
## 85 Myanmar 2003 Developing 63.2
## 86 Mali 2004 Developing 52.8
## 87 Syrian Arab Republic 2005 Developing 73.5
## 88 United States of America 2000 Developed 76.8
## 89 Namibia 2004 Developing 54.7
## 90 Botswana 2008 Developing 57.5
## 91 Zimbabwe 2004 Developing 44.3
## 92 Niger 2008 Developing 56.0
## 93 Estonia 2006 Developing 73.0
## 94 Thailand 2003 Developing 71.7
## 95 Sao Tome and Principe 2008 Developing 65.4
## 96 Romania 2003 Developed 71.1
## 97 Tunisia 2000 Developing 72.9
## 98 Tonga 2004 Developing 72.2
## 99 Democratic People's Republic of Korea 2015 Developing 76.0
## 100 Democratic People's Republic of Korea 2009 Developing 68.7
## 101 Latvia 2006 Developed 75.0
## 102 Cuba 2001 Developing 76.7
## 103 Sri Lanka 2011 Developing 74.5
## 104 Madagascar 2001 Developing 58.7
## 105 Panama 2015 Developing 77.8
## 106 Thailand 2015 Developing 74.9
## 107 Paraguay 2005 Developing 72.1
## 108 Honduras 2005 Developing 72.5
## 109 Philippines 2002 Developing 66.8
## 110 Sierra Leone 2000 Developing 39.0
## 111 Uruguay 2000 Developing 75.1
## 112 Cabo Verde 2006 Developing 72.1
## 113 Guinea 2012 Developing 58.4
## 114 Madagascar 2008 Developing 62.3
## 115 Jamaica 2001 Developing 72.7
## 116 Burkina Faso 2003 Developing 51.6
## 117 Jordan 2013 Developing 73.9
## 118 Nigeria 2010 Developing 52.0
## 119 Dominican Republic 2007 Developing 72.9
## 120 Madagascar 2009 Developing 62.8
## 121 Ecuador 2008 Developing 74.6
## 122 Kyrgyzstan 2011 Developing 69.4
## 123 Venezuela (Bolivarian Republic of) 2013 Developing 73.8
## 124 Kenya 2008 Developing 57.9
## 125 Swaziland 2000 Developing 48.4
## 126 Congo 2007 Developing 58.2
## 127 Brazil 2011 Developing 74.1
## 128 Benin 2009 Developing 58.4
## 129 Belize 2002 Developing 68.5
## 130 Turkey 2003 Developing 71.6
## 131 South Africa 2014 Developing 62.0
## 132 Serbia 2015 Developing 75.6
## 133 Congo 2006 Developing 56.9
## 134 Botswana 2015 Developing 65.7
## 135 Zambia 2006 Developing 58.0
## 136 Georgia 2013 Developing 74.5
## 137 Gabon 2006 Developing 61.4
## 138 Myanmar 2015 Developing 66.6
## 139 Libya 2000 Developing 78.0
## 140 Turkmenistan 2008 Developing 64.5
## 141 Latvia 2013 Developed 74.1
## 142 Guinea 2009 Developing 57.3
## 143 Turkmenistan 2005 Developing 63.3
## 144 Seychelles 2011 Developing 72.6
## 145 Mexico 2002 Developing 75.0
## 146 Togo 2007 Developing 55.9
## 147 Uzbekistan 2005 Developing 67.3
## 148 Kyrgyzstan 2013 Developing 77.0
## 149 Iraq 2009 Developing 74.0
## 150 United Republic of Tanzania 2013 Developing 59.7
## 151 Timor-Leste 2012 Developing 67.4
## 152 Micronesia (Federated States of) 2009 Developing 68.5
## 153 Zimbabwe 2000 Developing 46.0
## 154 Estonia 2009 Developing 74.9
## 155 Djibouti 2012 Developing 62.2
## 156 Panama 2010 Developing 76.5
## 157 Georgia 2006 Developing 73.9
## 158 Swaziland 2010 Developing 53.6
## 159 Democratic People's Republic of Korea 2010 Developing 69.0
## 160 Liberia 2014 Developing 58.1
## 161 Botswana 2003 Developing 46.4
## 162 Kyrgyzstan 2001 Developing 67.2
## 163 United Republic of Tanzania 2007 Developing 54.5
## 164 Bulgaria 2014 Developed 74.3
## 165 Hungary 2005 Developed 72.9
## 166 Papua New Guinea 2004 Developing 59.9
## 167 Honduras 2000 Developing 71.0
## 168 Samoa 2003 Developing 79.0
## 169 Mongolia 2005 Developing 64.5
## 170 Democratic People's Republic of Korea 2011 Developing 69.4
## 171 Sudan 2003 Developing 59.6
## 172 Tajikistan 2013 Developing 69.3
## 173 Republic of Moldova 2007 Developing 68.3
## 174 Romania 2007 Developed 72.9
## 175 Vanuatu 2008 Developing 75.0
## 176 Vanuatu 2002 Developing 69.3
## 177 Kazakhstan 2015 Developing 72.0
## 178 Ecuador 2011 Developing 75.3
## 179 Yemen 2006 Developing 63.0
## 180 Jordan 2005 Developing 72.4
## 181 Egypt 2011 Developing 74.0
## 182 Jamaica 2003 Developing 73.1
## 183 Morocco 2006 Developing 71.0
## 184 Bhutan 2012 Developing 68.7
## 185 Iraq 2000 Developing 70.0
## 186 Nepal 2015 Developing 69.2
## 187 Micronesia (Federated States of) 2007 Developing 68.2
## 188 Bhutan 2007 Developing 66.5
## 189 Eritrea 2006 Developing 59.7
## 190 Comoros 2003 Developing 59.6
## 191 Uzbekistan 2015 Developing 69.4
## 192 Grenada 2001 Developing 77.0
## 193 Argentina 2013 Developing 76.0
## 194 Eritrea 2000 Developing 45.3
## 195 Antigua and Barbuda 2004 Developing 74.4
## 196 Guyana 2004 Developing 65.1
## 197 South Sudan 2003 Developing 58.0
## 198 Rwanda 2004 Developing 53.4
## 199 Vanuatu 2003 Developing 69.4
## 200 Sri Lanka 2012 Developing 74.5
## 201 Georgia 2005 Developing 73.9
## 202 Panama 2014 Developing 77.6
## 203 Montenegro 2010 Developing 75.3
## 204 Kazakhstan 2000 Developing 63.9
## 205 Rwanda 2013 Developing 65.2
## 206 Turkey 2010 Developing 74.2
## 207 Sri Lanka 2006 Developing 73.8
## 208 Cabo Verde 2003 Developing 71.1
## 209 Zambia 2005 Developing 49.3
## 210 Pakistan 2008 Developing 64.6
## 211 Honduras 2015 Developing 74.6
## 212 Trinidad and Tobago 2011 Developing 76.0
## 213 Argentina 2002 Developing 74.1
## 214 Afghanistan 2000 Developing 54.8
## 215 Turkey 2009 Developing 73.9
## 216 Central African Republic 2004 Developing 45.7
## 217 Malaysia 2000 Developing 72.4
## 218 Bangladesh 2004 Developing 67.3
## 219 South Sudan 2004 Developing 51.4
## 220 Honduras 2008 Developing 73.2
## 221 Solomon Islands 2014 Developing 68.8
## 222 Niger 2004 Developing 52.9
## 223 Kazakhstan 2007 Developing 65.3
## 224 Afghanistan 2006 Developing 57.3
## 225 Bahamas 2006 Developing 74.2
## 226 Sri Lanka 2007 Developing 73.7
## 227 Iran (Islamic Republic of) 2001 Developing 78.0
## 228 Zambia 2009 Developing 57.4
## 229 Armenia 2004 Developing 73.0
## 230 Afghanistan 2008 Developing 58.1
## 231 Belize 2011 Developing 69.4
## 232 Solomon Islands 2003 Developing 66.8
## 233 Guinea-Bissau 2008 Developing 55.6
## 234 Morocco 2004 Developing 72.0
## 235 Timor-Leste 2015 Developing 68.3
## 236 Montenegro 2001 Developing 73.3
## 237 Iraq 2007 Developing 65.9
## 238 Georgia 2004 Developing 72.3
## 239 Honduras 2011 Developing 73.9
## 240 Cabo Verde 2012 Developing 72.7
## 241 Eritrea 2010 Developing 62.1
## 242 Pakistan 2010 Developing 65.1
## 243 Guatemala 2014 Developing 71.7
## 244 Mauritania 2011 Developing 62.2
## 245 Niger 2007 Developing 55.2
## 246 Zimbabwe 2010 Developing 52.4
## 247 Philippines 2004 Developing 67.3
## 248 Ecuador 2009 Developing 75.1
## 249 Zimbabwe 2001 Developing 45.3
## 250 Indonesia 2014 Developing 68.9
## 251 Benin 2010 Developing 58.7
## 252 United Republic of Tanzania 2011 Developing 58.3
## 253 Montenegro 2005 Developing 73.6
## 254 Mexico 2004 Developing 75.4
## 255 Zimbabwe 2008 Developing 48.2
## 256 Bulgaria 2007 Developed 72.6
## 257 Lao People's Democratic Republic 2000 Developing 58.1
## 258 Guyana 2014 Developing 66.0
## 259 Bolivia (Plurinational State of) 2001 Developing 63.3
## 260 Nicaragua 2015 Developing 74.8
## 261 Mauritania 2001 Developing 61.0
## 262 Suriname 2000 Developing 67.4
## 263 Comoros 2009 Developing 61.3
## 264 Yemen 2015 Developing 65.7
## 265 Romania 2006 Developed 72.5
## 266 Turkmenistan 2009 Developing 65.6
## 267 Poland 2001 Developed 74.2
## 268 Estonia 2003 Developing 71.9
## 269 Angola 2015 Developing 52.4
## 270 Bangladesh 2015 Developing 71.8
## 271 Swaziland 2011 Developing 55.0
## 272 Rwanda 2000 Developing 48.3
## 273 Egypt 2001 Developing 68.6
## 274 Republic of Moldova 2010 Developing 68.8
## 275 Latvia 2012 Developed 73.8
## 276 Madagascar 2011 Developing 63.8
## 277 Tonga 2013 Developing 73.2
## 278 Mali 2010 Developing 56.5
## 279 Gabon 2012 Developing 63.5
## 280 Lao People's Democratic Republic 2005 Developing 61.0
## 281 Myanmar 2009 Developing 65.2
## 282 Iran (Islamic Republic of) 2007 Developing 72.4
## 283 Djibouti 2011 Developing 61.8
## 284 Georgia 2001 Developing 73.0
## 285 Tajikistan 2001 Developing 64.0
## 286 Samoa 2006 Developing 72.0
## 287 Jordan 2000 Developing 71.7
## 288 Romania 2009 Developed 73.1
## 289 Tajikistan 2015 Developing 69.7
## 290 Libya 2005 Developing 71.9
## 291 Togo 2001 Developing 54.6
## 292 Côte d'Ivoire 2003 Developing 48.0
## 293 Argentina 2001 Developing 74.0
## 294 Kenya 2012 Developing 62.1
## 295 Serbia 2012 Developing 74.9
## 296 Côte d'Ivoire 2000 Developing 47.9
## 297 Paraguay 2015 Developing 74.0
## 298 Burkina Faso 2009 Developing 56.9
## 299 Serbia 2004 Developing 73.0
## 300 Liberia 2008 Developing 58.6
## 301 Barbados 2006 Developing 74.1
## 302 Antigua and Barbuda 2001 Developing 73.8
## 303 Seychelles 2012 Developing 72.7
## 304 Colombia 2013 Developing 74.4
## 305 Cameroon 2003 Developing 51.8
## 306 Democratic Republic of the Congo 2007 Developing 55.7
## 307 Nepal 2009 Developing 67.5
## 308 Senegal 2008 Developing 62.8
## 309 Estonia 2005 Developing 72.8
## 310 South Africa 2003 Developing 54.0
## 311 Guatemala 2009 Developing 76.0
## 312 Equatorial Guinea 2002 Developing 53.5
## 313 Cabo Verde 2014 Developing 73.0
## 314 Kazakhstan 2004 Developing 64.7
## 315 Nicaragua 2013 Developing 73.9
## 316 Viet Nam 2008 Developing 74.9
## 317 Bangladesh 2007 Developing 68.6
## 318 Angola 2012 Developing 56.0
## 319 Iraq 2001 Developing 72.0
## 320 Vanuatu 2012 Developing 71.4
## 321 Colombia 2015 Developing 74.8
## 322 Cabo Verde 2007 Developing 72.3
## 323 Ghana 2011 Developing 61.2
## 324 Madagascar 2005 Developing 69.0
## 325 Grenada 2014 Developing 73.5
## 326 Iran (Islamic Republic of) 2004 Developing 71.8
## 327 Saint Lucia 2012 Developing 74.7
## 328 Russian Federation 2012 Developing 69.6
## 329 Paraguay 2003 Developing 71.7
## 330 Comoros 2002 Developing 59.5
## 331 Saint Lucia 2009 Developing 74.3
## 332 Equatorial Guinea 2011 Developing 56.2
## 333 Togo 2003 Developing 54.7
## 334 Mauritania 2009 Developing 61.7
## 335 Uzbekistan 2011 Developing 68.5
## 336 Myanmar 2000 Developing 62.1
## 337 Argentina 2015 Developing 76.3
## 338 United Republic of Tanzania 2005 Developing 52.2
## 339 Ethiopia 2002 Developing 53.2
## 340 Mozambique 2006 Developing 51.2
## 341 Uganda 2000 Developing 46.6
## 342 Timor-Leste 2009 Developing 66.6
## 343 Mauritius 2013 Developing 74.1
## 344 Saint Vincent and the Grenadines 2015 Developing 73.2
## 345 Sudan 2013 Developing 63.5
## 346 Sri Lanka 2003 Developing 73.9
## 347 Comoros 2006 Developing 63.0
## 348 Fiji 2013 Developing 69.6
## 349 Namibia 2001 Developing 56.5
## 350 Bhutan 2013 Developing 69.1
## 351 El Salvador 2005 Developing 71.0
## 352 Togo 2008 Developing 56.2
## 353 Poland 2015 Developed 77.5
## 354 Kenya 2013 Developing 62.6
## 355 Venezuela (Bolivarian Republic of) 2009 Developing 73.6
## 356 Dominican Republic 2000 Developing 72.0
## 357 South Africa 2000 Developing 57.3
## 358 Eritrea 2011 Developing 62.9
## 359 Venezuela (Bolivarian Republic of) 2003 Developing 72.4
## 360 Guinea-Bissau 2010 Developing 56.7
## 361 Cabo Verde 2015 Developing 73.3
## 362 Bosnia and Herzegovina 2001 Developing 74.9
## 363 Uganda 2004 Developing 51.3
## 364 Bangladesh 2001 Developing 65.8
## 365 Côte d'Ivoire 2012 Developing 52.0
## 366 Comoros 2007 Developing 66.0
## 367 Swaziland 2012 Developing 56.5
## 368 Uganda 2002 Developing 48.8
## 369 Central African Republic 2005 Developing 45.9
## 370 Colombia 2006 Developing 73.1
## 371 Somalia 2002 Developing 58.0
## 372 Argentina 2008 Developing 75.4
## 373 Lao People's Democratic Republic 2002 Developing 59.3
## 374 Niger 2012 Developing 63.0
## 375 Togo 2012 Developing 58.9
## 376 Slovenia 2002 Developed 76.6
## 377 Cabo Verde 2001 Developing 73.0
## 378 Egypt 2015 Developing 79.0
## 379 Seychelles 2007 Developing 72.2
## 380 Dominican Republic 2008 Developing 73.3
## 381 Vanuatu 2007 Developing 73.0
## 382 Kazakhstan 2010 Developing 67.8
## 383 Sao Tome and Principe 2013 Developing 67.1
## 384 Uruguay 2007 Developing 75.4
## 385 Micronesia (Federated States of) 2012 Developing 69.0
## 386 Paraguay 2013 Developing 73.8
## 387 Slovakia 2008 Developed 74.7
## 388 Philippines 2015 Developing 68.5
## 389 Uzbekistan 2012 Developing 68.8
## 390 Syrian Arab Republic 2002 Developing 72.8
## 391 Rwanda 2007 Developing 59.6
## 392 Cabo Verde 2008 Developing 72.4
## 393 Ecuador 2013 Developing 76.0
## 394 Cameroon 2014 Developing 56.7
## 395 Cabo Verde 2005 Developing 71.8
## 396 Jordan 2010 Developing 73.4
## 397 Malawi 2000 Developing 43.1
## 398 Cameroon 2015 Developing 57.3
## 399 Equatorial Guinea 2007 Developing 55.0
## 400 Mali 2013 Developing 57.3
## 401 United Republic of Tanzania 2003 Developing 58.0
## 402 Guyana 2000 Developing 65.4
## 403 Sudan 2002 Developing 59.4
## 404 United Republic of Tanzania 2015 Developing 61.8
## 405 Bangladesh 2002 Developing 66.3
## 406 Bangladesh 2009 Developing 69.5
## 407 Sierra Leone 2015 Developing 51.0
## 408 Philippines 2011 Developing 68.0
## 409 Libya 2010 Developing 72.8
## 410 Bulgaria 2002 Developed 71.8
## 411 Iraq 2008 Developing 69.3
## 412 Botswana 2005 Developing 51.7
## 413 Malaysia 2013 Developing 74.6
## 414 Vanuatu 2004 Developing 69.6
## 415 Uruguay 2015 Developing 77.0
## 416 Republic of Korea 2000 Developing 76.0
## 417 Kiribati 2000 Developing 64.1
## 418 South Africa 2002 Developing 54.9
## 419 Trinidad and Tobago 2014 Developing 71.1
## 420 Mauritius 2001 Developing 71.5
## 421 Democratic People's Republic of Korea 2008 Developing 68.6
## 422 Bangladesh 2008 Developing 69.1
## 423 Belize 2014 Developing 70.0
## 424 Congo 2012 Developing 63.7
## 425 Lao People's Democratic Republic 2007 Developing 62.1
## 426 Sierra Leone 2011 Developing 48.9
## 427 Bhutan 2014 Developing 69.4
## 428 Cambodia 2014 Developing 68.3
## 429 Egypt 2004 Developing 69.0
## 430 Oman 2005 Developing 74.3
## 431 Afghanistan 2007 Developing 57.5
## 432 Estonia 2015 Developing 77.6
## 433 Guatemala 2010 Developing 77.0
## 434 Suriname 2001 Developing 67.7
## 435 Uzbekistan 2003 Developing 67.2
## 436 Gambia 2015 Developing 61.1
## 437 Zambia 2001 Developing 44.6
## 438 Philippines 2000 Developing 66.8
## 439 Antigua and Barbuda 2013 Developing 76.1
## 440 Estonia 2004 Developing 72.3
## 441 Uruguay 2003 Developing 75.4
## 442 Cambodia 2009 Developing 66.1
## 443 Suriname 2014 Developing 71.4
## 444 Bahamas 2015 Developing 76.1
## 445 Burundi 2011 Developing 57.4
## 446 Sierra Leone 2006 Developing 44.3
## 447 Papua New Guinea 2001 Developing 59.1
## 448 Sudan 2000 Developing 58.6
## 449 Pakistan 2012 Developing 65.7
## 450 Peru 2015 Developing 75.5
## 451 Barbados 2000 Developing 73.3
## 452 Yemen 2012 Developing 64.7
## 453 Lesotho 2015 Developing 53.7
## 454 Angola 2008 Developing 48.7
## 455 Jamaica 2012 Developing 75.3
## 456 Turkey 2008 Developing 73.5
## 457 Croatia 2003 Developed 74.7
## 458 Belarus 2011 Developing 72.0
## 459 Trinidad and Tobago 2008 Developing 69.9
## 460 Romania 2001 Developed 78.0
## 461 Latvia 2000 Developed 71.0
## 462 Croatia 2008 Developed 76.0
## 463 Bahamas 2013 Developing 74.8
## 464 Libya 2013 Developing 72.9
## 465 Croatia 2001 Developed 74.9
## 466 El Salvador 2014 Developing 73.3
## 467 Brazil 2013 Developing 74.7
## 468 Tajikistan 2009 Developing 66.7
## 469 Micronesia (Federated States of) 2004 Developing 67.7
## 470 Burkina Faso 2007 Developing 55.3
## 471 Syrian Arab Republic 2000 Developing 72.6
## 472 Egypt 2006 Developing 69.5
## 473 Paraguay 2002 Developing 71.5
## 474 Azerbaijan 2012 Developing 71.9
## 475 Russian Federation 2010 Developing 68.4
## 476 Central African Republic 2011 Developing 49.8
## 477 Guinea 2010 Developing 57.8
## 478 Antigua and Barbuda 2003 Developing 74.2
## 479 Sao Tome and Principe 2004 Developing 63.8
## 480 Colombia 2008 Developing 73.5
## 481 Swaziland 2006 Developing 47.8
## 482 Democratic People's Republic of Korea 2001 Developing 66.6
## 483 Seychelles 2008 Developing 72.2
## 484 Bhutan 2000 Developing 62.0
## 485 Namibia 2005 Developing 55.1
## 486 El Salvador 2001 Developing 68.9
## 487 Mongolia 2014 Developing 68.4
## 488 Armenia 2012 Developing 74.4
## 489 Grenada 2009 Developing 72.4
## 490 South Sudan 2007 Developing 53.1
## 491 Zambia 2011 Developing 58.2
## 492 Botswana 2009 Developing 59.2
## 493 Tonga 2009 Developing 72.5
## 494 Iran (Islamic Republic of) 2003 Developing 75.0
## 495 Yemen 2001 Developing 61.1
## 496 Venezuela (Bolivarian Republic of) 2006 Developing 73.6
## 497 Ghana 2005 Developing 58.9
## 498 Mauritania 2002 Developing 62.0
## 499 Micronesia (Federated States of) 2010 Developing 68.7
## 500 Guatemala 2011 Developing 71.1
## 501 Turkmenistan 2014 Developing 66.0
## 502 Haiti 2011 Developing 62.3
## 503 Bulgaria 2000 Developed 71.1
## 504 Afghanistan 2014 Developing 59.9
## 505 Mexico 2001 Developing 75.0
## 506 Uganda 2009 Developing 57.5
## 507 Kazakhstan 2012 Developing 69.1
## 508 Mongolia 2001 Developing 63.2
## 509 Burundi 2002 Developing 51.5
## 510 Mongolia 2009 Developing 66.9
## 511 United States of America 2006 Developed 77.8
## 512 Democratic People's Republic of Korea 2005 Developing 68.5
## 513 Djibouti 2015 Developing 63.5
## 514 Serbia 2010 Developing 74.4
## 515 Timor-Leste 2004 Developing 62.3
## 516 Congo 2009 Developing 68.0
## 517 Egypt 2014 Developing 78.0
## 518 South Sudan 2008 Developing 53.6
## 519 Central African Republic 2013 Developing 49.9
## 520 Turkmenistan 2010 Developing 65.8
## 521 Angola 2013 Developing 51.1
## 522 United Republic of Tanzania 2000 Developing 49.2
## 523 Iraq 2003 Developing 66.5
## 524 Congo 2011 Developing 62.9
## 525 Oman 2000 Developing 72.6
## 526 Hungary 2001 Developed 72.3
## 527 Swaziland 2008 Developing 51.4
## 528 Bolivia (Plurinational State of) 2002 Developing 63.9
## 529 Zimbabwe 2012 Developing 56.6
## 530 Republic of Moldova 2012 Developing 79.0
## 531 Solomon Islands 2010 Developing 68.3
## 532 Madagascar 2004 Developing 64.0
## 533 Turkmenistan 2002 Developing 63.3
## 534 Swaziland 2014 Developing 58.4
## 535 Democratic Republic of the Congo 2014 Developing 59.3
## 536 Iraq 2015 Developing 68.9
## 537 Micronesia (Federated States of) 2006 Developing 68.0
## 538 Cameroon 2009 Developing 54.8
## 539 Estonia 2010 Developing 75.6
## 540 Algeria 2000 Developing 71.3
## 541 Rwanda 2002 Developing 57.0
## 542 Azerbaijan 2008 Developing 73.0
## 543 Thailand 2008 Developing 73.5
## 544 Nicaragua 2008 Developing 72.5
## 545 Chad 2007 Developing 49.4
## 546 Liberia 2012 Developing 67.0
## 547 Madagascar 2010 Developing 63.3
## 548 Dominican Republic 2004 Developing 69.3
## 549 Burundi 2000 Developing 58.0
## 550 Jordan 2001 Developing 71.9
## 551 South Africa 2010 Developing 58.0
## 552 Slovenia 2003 Developed 76.5
## 553 Algeria 2009 Developing 74.4
## 554 Algeria 2003 Developing 71.7
## 555 Syrian Arab Republic 2011 Developing 71.7
## 556 Micronesia (Federated States of) 2005 Developing 67.9
## 557 El Salvador 2006 Developing 75.0
## 558 Thailand 2001 Developing 71.2
## 559 Azerbaijan 2001 Developing 67.5
## 560 Micronesia (Federated States of) 2013 Developing 69.2
## 561 Mauritius 2014 Developing 74.2
## 562 Bangladesh 2006 Developing 68.2
## 563 Kenya 2006 Developing 55.3
## 564 Malawi 2013 Developing 56.7
## 565 Peru 2006 Developing 74.2
## 566 Djibouti 2005 Developing 58.6
## 567 Argentina 2007 Developing 74.8
## 568 Lesotho 2004 Developing 44.8
## 569 Guyana 2003 Developing 65.3
## 570 Eritrea 2009 Developing 61.4
## 571 Ethiopia 2011 Developing 62.6
## 572 Djibouti 2013 Developing 62.7
## 573 Nepal 2013 Developing 69.3
## 574 Uruguay 2010 Developing 76.3
## 575 Estonia 2013 Developing 76.9
## 576 Zambia 2004 Developing 47.9
## 577 Afghanistan 2012 Developing 59.5
## 578 Algeria 2013 Developing 75.3
## 579 Uruguay 2013 Developing 76.8
## 580 Turkey 2006 Developing 72.8
## 581 Timor-Leste 2011 Developing 67.2
## 582 Mauritania 2003 Developing 63.0
## 583 Latvia 2002 Developed 73.0
## 584 Myanmar 2001 Developing 62.5
## 585 Jamaica 2008 Developing 74.5
## 586 Thailand 2013 Developing 74.5
## 587 Uganda 2010 Developing 58.4
## 588 Belize 2008 Developing 69.6
## 589 Fiji 2001 Developing 67.8
## 590 Slovenia 2004 Developed 77.2
## 591 Serbia 2005 Developing 73.0
## 592 Brazil 2010 Developing 73.8
## 593 Grenada 2002 Developing 79.0
## 594 Republic of Moldova 2013 Developing 71.7
## 595 Philippines 2007 Developing 67.5
## 596 Somalia 2009 Developing 52.2
## 597 El Salvador 2015 Developing 73.5
## 598 Fiji 2000 Developing 67.7
## 599 Ecuador 2004 Developing 74.4
## 600 Antigua and Barbuda 2011 Developing 75.7
## 601 Kenya 2005 Developing 54.1
## 602 Uruguay 2001 Developing 75.2
## 603 Malawi 2004 Developing 45.1
## 604 Peru 2005 Developing 72.8
## 605 Bolivia (Plurinational State of) 2008 Developing 67.4
## 606 Afghanistan 2015 Developing 65.0
## 607 Panama 2007 Developing 76.4
## 608 Eritrea 2004 Developing 59.1
## 609 Mauritania 2005 Developing 66.0
## 610 Guinea 2014 Developing 58.1
## 611 Kyrgyzstan 2008 Developing 67.6
## 612 Solomon Islands 2011 Developing 68.5
## 613 Myanmar 2004 Developing 63.5
## 614 Kyrgyzstan 2010 Developing 68.8
## 615 Guatemala 2001 Developing 68.4
## 616 Cambodia 2001 Developing 58.5
## 617 Paraguay 2014 Developing 73.9
## 618 Slovakia 2005 Developed 74.0
## 619 Kazakhstan 2006 Developing 65.0
## 620 Bulgaria 2006 Developed 72.2
## 621 Mongolia 2006 Developing 65.0
## 622 Barbados 2003 Developing 73.7
## 623 Suriname 2011 Developing 76.0
## 624 Czechia 2000 Developed 74.7
## 625 South Sudan 2015 Developing 57.3
## 626 Romania 2000 Developed 77.0
## 627 Lesotho 2008 Developing 47.8
## 628 Swaziland 2013 Developing 57.6
## 629 Myanmar 2007 Developing 64.5
## 630 Slovakia 2013 Developed 76.1
## 631 Papua New Guinea 2014 Developing 62.7
## 632 Panama 2005 Developing 75.8
## 633 Namibia 2002 Developing 55.7
## 634 Côte d'Ivoire 2013 Developing 52.3
## 635 Slovenia 2000 Developed 76.0
## 636 Kiribati 2007 Developing 65.0
## 637 Malaysia 2014 Developing 74.8
## 638 Uzbekistan 2000 Developing 67.1
## 639 Brazil 2002 Developing 71.4
## 640 Russian Federation 2009 Developing 68.2
## 641 Trinidad and Tobago 2005 Developing 69.5
## 642 Eritrea 2001 Developing 58.1
## 643 Nigeria 2015 Developing 54.5
## 644 Sierra Leone 2012 Developing 49.7
## 645 Uruguay 2012 Developing 76.5
## 646 Poland 2002 Developed 74.5
## 647 Botswana 2006 Developing 54.8
## 648 Chad 2014 Developing 52.6
## 649 Lesotho 2013 Developing 52.1
## 650 Peru 2011 Developing 74.5
## 651 Peru 2001 Developing 72.4
## 652 Bangladesh 2010 Developing 69.9
## 653 Russian Federation 2003 Developing 64.6
## 654 Angola 2010 Developing 49.6
## 655 Micronesia (Federated States of) 2008 Developing 68.4
## 656 Antigua and Barbuda 2007 Developing 75.0
## 657 Samoa 2010 Developing 72.6
## 658 South Sudan 2001 Developing 49.6
## 659 India 2003 Developing 63.7
## 660 Panama 2011 Developing 77.3
## 661 Trinidad and Tobago 2000 Developing 69.1
## 662 Slovakia 2010 Developed 75.1
## 663 Cambodia 2015 Developing 68.7
## 664 Indonesia 2015 Developing 69.1
## 665 Saint Lucia 2001 Developing 71.8
## 666 Cameroon 2004 Developing 52.1
## 667 Grenada 2015 Developing 73.6
## 668 Guinea 2003 Developing 53.3
## 669 Burkina Faso 2010 Developing 57.5
## 670 Azerbaijan 2005 Developing 68.4
## 671 Paraguay 2004 Developing 71.9
## 672 Bulgaria 2010 Developed 73.4
## 673 Belarus 2012 Developing 71.9
## 674 El Salvador 2011 Developing 72.0
## 675 Sierra Leone 2014 Developing 48.1
## 676 Myanmar 2005 Developing 63.9
## 677 Ecuador 2005 Developing 74.2
## 678 Bangladesh 2012 Developing 77.0
## 679 Bulgaria 2011 Developed 73.7
## 680 Suriname 2009 Developing 70.0
## 681 Hungary 2009 Developed 74.2
## 682 Botswana 2013 Developing 64.2
## 683 Montenegro 2009 Developing 75.0
## 684 Ukraine 2004 Developing 67.4
## 685 Belarus 2001 Developing 67.7
## 686 Somalia 2003 Developing 51.1
## 687 Uzbekistan 2010 Developing 68.3
## 688 Turkey 2004 Developing 72.0
## 689 Belize 2005 Developing 69.0
## 690 Mauritius 2004 Developing 71.9
## 691 Russian Federation 2007 Developing 67.3
## 692 Lithuania 2008 Developed 71.1
## 693 Kenya 2010 Developing 63.0
## 694 Croatia 2006 Developed 75.9
## 695 Ukraine 2013 Developing 71.0
## 696 Nepal 2014 Developing 69.6
## 697 Mauritius 2009 Developing 72.8
## 698 Lesotho 2010 Developing 51.1
## 699 Armenia 2010 Developing 73.5
## 700 Kyrgyzstan 2006 Developing 66.7
## 701 Libya 2009 Developing 72.7
## 702 Antigua and Barbuda 2000 Developing 73.6
## 703 Viet Nam 2009 Developing 75.0
## 704 Slovakia 2012 Developed 75.8
## 705 Chad 2011 Developing 51.6
## 706 South Africa 2004 Developing 53.7
## 707 El Salvador 2004 Developing 70.0
## 708 Grenada 2006 Developing 71.7
## 709 Burundi 2012 Developing 58.0
## 710 Azerbaijan 2006 Developing 69.2
## 711 Russian Federation 2008 Developing 67.5
## 712 Argentina 2006 Developing 75.2
## 713 Jamaica 2013 Developing 75.6
## 714 Sao Tome and Principe 2011 Developing 66.6
## 715 Mexico 2000 Developing 74.8
## 716 Rwanda 2008 Developing 68.0
## 717 Afghanistan 2004 Developing 57.0
## 718 Niger 2000 Developing 50.0
## 719 Turkey 2011 Developing 74.5
## 720 Gabon 2002 Developing 59.7
## 721 Russian Federation 2004 Developing 64.9
## 722 Syrian Arab Republic 2014 Developing 64.4
## 723 Botswana 2000 Developing 47.8
## 724 Benin 2001 Developing 55.5
## 725 Angola 2004 Developing 47.1
## 726 Solomon Islands 2001 Developing 66.2
## 727 Democratic Republic of the Congo 2000 Developing 51.3
## 728 Sudan 2012 Developing 63.2
## 729 Iran (Islamic Republic of) 2008 Developing 72.7
## 730 Mozambique 2005 Developing 58.0
## 731 India 2011 Developing 66.8
## 732 Comoros 2000 Developing 59.5
## 733 Mozambique 2004 Developing 54.0
## 734 Lithuania 2010 Developed 72.4
## 735 Nigeria 2009 Developing 51.6
## 736 Saint Vincent and the Grenadines 2006 Developing 71.7
## 737 Yemen 2013 Developing 65.4
## 738 Seychelles 2002 Developing 72.1
## 739 Cameroon 2012 Developing 55.9
## 740 Turkey 2005 Developing 72.4
## 741 Jordan 2012 Developing 73.7
## 742 Belarus 2010 Developing 73.0
## 743 Yemen 2009 Developing 64.1
## 744 Poland 2003 Developed 74.7
## 745 Cambodia 2013 Developing 67.8
## 746 Republic of Moldova 2008 Developing 68.9
## 747 Kiribati 2004 Developing 64.8
## 748 Azerbaijan 2015 Developing 72.7
## 749 Vanuatu 2010 Developing 71.0
## 750 Niger 2001 Developing 56.0
## 751 Timor-Leste 2010 Developing 66.9
## 752 Nepal 2008 Developing 67.0
## 753 Ethiopia 2005 Developing 56.0
## 754 Iran (Islamic Republic of) 2005 Developing 72.0
## 755 Dominican Republic 2006 Developing 72.3
## 756 Russian Federation 2002 Developing 64.8
## 757 Haiti 2010 Developing 36.3
## 758 Turkmenistan 2011 Developing 65.6
## 759 Belarus 2002 Developing 67.2
## 760 Ukraine 2003 Developing 67.6
## 761 Maldives 2001 Developing 78.0
## 762 Dominican Republic 2014 Developing 73.6
## 763 Viet Nam 2000 Developing 73.4
## 764 Togo 2005 Developing 55.0
## 765 Mongolia 2012 Developing 67.8
## 766 Malaysia 2015 Developing 75.0
## 767 Mexico 2008 Developing 75.6
## 768 Colombia 2005 Developing 73.1
## 769 Côte d'Ivoire 2015 Developing 53.3
## 770 Belarus 2004 Developing 68.2
## 771 Jamaica 2015 Developing 76.2
## 772 Philippines 2003 Developing 67.2
## 773 Thailand 2011 Developing 74.1
## 774 Barbados 2008 Developing 74.4
## 775 Poland 2011 Developed 76.7
## 776 Equatorial Guinea 2004 Developing 54.1
## 777 Guinea-Bissau 2013 Developing 58.1
## 778 Honduras 2010 Developing 73.6
## 779 Grenada 2004 Developing 73.0
## 780 South Africa 2009 Developing 56.5
## 781 Colombia 2012 Developing 74.3
## 782 Guyana 2002 Developing 65.3
## 783 Mali 2006 Developing 54.3
## 784 Liberia 2013 Developing 61.1
## 785 Antigua and Barbuda 2010 Developing 75.6
## 786 Egypt 2008 Developing 69.8
## 787 Benin 2012 Developing 59.3
## 788 Lesotho 2001 Developing 47.8
## 789 Antigua and Barbuda 2005 Developing 74.6
## 790 Bhutan 2008 Developing 67.0
## 791 Burkina Faso 2011 Developing 58.1
## 792 Senegal 2015 Developing 66.7
## 793 Poland 2009 Developed 75.7
## 794 Bhutan 2005 Developing 65.0
## 795 Nigeria 2012 Developing 52.7
## 796 Sri Lanka 2005 Developing 74.2
## 797 Egypt 2002 Developing 68.7
## 798 Chad 2012 Developing 51.8
## 799 Morocco 2005 Developing 77.0
## 800 Somalia 2000 Developing 55.0
## 801 Hungary 2014 Developed 75.6
## 802 Suriname 2012 Developing 71.3
## 803 Djibouti 2004 Developing 58.1
## 804 Democratic Republic of the Congo 2012 Developing 58.3
## 805 Croatia 2000 Developed 74.7
## 806 Latvia 2011 Developed 73.6
## 807 Colombia 2011 Developing 74.2
## 808 Nicaragua 2012 Developing 73.9
## 809 Ecuador 2003 Developing 74.4
## 810 Trinidad and Tobago 2013 Developing 71.0
## 811 Burkina Faso 2001 Developing 56.0
## 812 Malawi 2015 Developing 58.3
## 813 Sao Tome and Principe 2007 Developing 65.1
## 814 Kazakhstan 2005 Developing 64.6
## 815 Kiribati 2006 Developing 65.0
## 816 Bahamas 2001 Developing 72.9
## 817 Belarus 2006 Developing 68.9
## 818 Senegal 2006 Developing 61.3
## 819 Kenya 2007 Developing 56.8
## 820 Hungary 2010 Developed 74.5
## 821 Mauritius 2015 Developing 74.6
## 822 Dominican Republic 2013 Developing 73.4
## 823 Cambodia 2006 Developing 64.1
## 824 Sao Tome and Principe 2000 Developing 62.6
## 825 Burundi 2007 Developing 54.8
## 826 South Sudan 2006 Developing 52.5
## 827 Maldives 2000 Developing 69.6
## 828 Bolivia (Plurinational State of) 2006 Developing 66.2
## 829 Lao People's Democratic Republic 2011 Developing 64.0
## 830 Romania 2013 Developed 74.6
## 831 Viet Nam 2005 Developing 74.4
## 832 Democratic People's Republic of Korea 2000 Developing 65.4
## 833 Ethiopia 2014 Developing 64.2
## 834 Namibia 2011 Developing 64.3
## 835 Yemen 2003 Developing 61.9
## 836 Brazil 2015 Developing 75.0
## 837 Senegal 2009 Developing 63.5
## 838 Papua New Guinea 2006 Developing 68.0
## 839 Burkina Faso 2008 Developing 56.1
## 840 Sierra Leone 2008 Developing 46.2
## 841 Democratic Republic of the Congo 2009 Developing 56.7
## 842 Solomon Islands 2008 Developing 68.0
## 843 Liberia 2007 Developing 57.9
## 844 Jamaica 2010 Developing 75.0
## 845 South Sudan 2012 Developing 56.0
## 846 Ethiopia 2009 Developing 68.0
## 847 Algeria 2002 Developing 71.6
## 848 Nepal 2000 Developing 62.5
## 849 Panama 2001 Developing 75.5
## 850 The former Yugoslav republic of Macedonia 2001 Developing 73.1
## 851 Eritrea 2012 Developing 63.6
## 852 Uzbekistan 2004 Developing 67.8
## 853 Paraguay 2000 Developing 79.0
## 854 Saint Lucia 2010 Developing 74.2
## 855 Comoros 2001 Developing 59.5
## 856 Indonesia 2010 Developing 68.1
## 857 United States of America 2003 Developed 77.2
## 858 Mauritius 2006 Developing 71.8
## 859 Belarus 2015 Developing 72.3
## 860 Panama 2000 Developing 75.7
## 861 Malawi 2001 Developing 43.5
## 862 Malawi 2008 Developing 50.0
## 863 Lesotho 2009 Developing 49.4
## 864 Brazil 2014 Developing 74.8
## 865 Bangladesh 2005 Developing 67.8
## 866 Serbia 2006 Developing 73.6
## 867 Gambia 2004 Developing 57.3
## 868 Russian Federation 2011 Developing 69.4
## 869 Barbados 2001 Developing 73.4
## 870 Georgia 2014 Developing 74.5
## 871 Belarus 2008 Developing 70.0
## 872 Algeria 2011 Developing 74.9
## 873 Zimbabwe 2011 Developing 54.9
## 874 Hungary 2008 Developed 74.1
## 875 United Republic of Tanzania 2009 Developing 56.9
## 876 Gambia 2011 Developing 59.8
## 877 Djibouti 2002 Developing 57.9
## 878 Georgia 2002 Developing 71.7
## 879 Benin 2014 Developing 59.7
## 880 Micronesia (Federated States of) 2001 Developing 67.2
## 881 Hungary 2006 Developed 73.4
## 882 Fiji 2015 Developing 69.9
## 883 Indonesia 2003 Developing 66.9
## 884 Paraguay 2007 Developing 72.5
## 885 Equatorial Guinea 2012 Developing 56.7
## 886 Somalia 2011 Developing 53.1
## 887 Indonesia 2013 Developing 68.7
## 888 Saint Lucia 2002 Developing 72.0
## 889 Sao Tome and Principe 2001 Developing 62.8
## 890 Burundi 2006 Developing 54.1
## 891 Gabon 2004 Developing 59.7
## 892 Suriname 2002 Developing 67.9
## 893 Ethiopia 2001 Developing 52.5
## 894 Democratic People's Republic of Korea 2002 Developing 67.6
## 895 Equatorial Guinea 2013 Developing 57.4
## 896 Thailand 2004 Developing 71.6
## 897 Senegal 2013 Developing 66.0
## 898 Serbia 2003 Developing 73.0
## 899 Hungary 2007 Developed 73.5
## 900 Republic of Moldova 2011 Developing 77.0
## 901 Comoros 2015 Developing 63.5
## 902 Sierra Leone 2009 Developing 47.1
## 903 Kyrgyzstan 2005 Developing 66.9
## 904 Trinidad and Tobago 2007 Developing 69.7
## 905 South Africa 2011 Developing 58.9
## 906 Tajikistan 2005 Developing 65.5
## 907 Saint Vincent and the Grenadines 2003 Developing 71.0
## 908 Malawi 2007 Developing 48.5
## 909 Pakistan 2004 Developing 63.7
## 910 Lebanon 2000 Developing 72.7
## 911 Kyrgyzstan 2000 Developing 66.6
## 912 Togo 2015 Developing 59.9
## 913 Eritrea 2007 Developing 62.0
## 914 Sao Tome and Principe 2002 Developing 63.1
## 915 Jamaica 2007 Developing 74.2
## 916 Burkina Faso 2004 Developing 52.4
## 917 Syrian Arab Republic 2010 Developing 73.7
## 918 Solomon Islands 2000 Developing 65.8
## 919 Saint Vincent and the Grenadines 2004 Developing 71.2
## 920 Brazil 2006 Developing 73.0
## 921 Mexico 2012 Developing 76.3
## 922 Ethiopia 2012 Developing 63.3
## 923 Mongolia 2003 Developing 64.0
## 924 Kenya 2003 Developing 52.4
## 925 Jordan 2004 Developing 72.5
## 926 Democratic People's Republic of Korea 2014 Developing 73.0
## 927 Serbia 2002 Developing 72.9
## 928 Zambia 2010 Developing 58.0
## 929 Timor-Leste 2013 Developing 67.7
## 930 Jordan 2015 Developing 74.1
## 931 Equatorial Guinea 2005 Developing 54.4
## 932 Bolivia (Plurinational State of) 2013 Developing 71.0
## 933 Ethiopia 2015 Developing 64.8
## 934 Barbados 2004 Developing 73.8
## 935 South Africa 2008 Developing 55.3
## 936 Cabo Verde 2000 Developing 69.9
## 937 India 2001 Developing 62.9
## 938 India 2013 Developing 67.6
## 939 Mongolia 2008 Developing 67.4
## 940 Malaysia 2004 Developing 73.2
## 941 Armenia 2009 Developing 73.3
## 942 Tonga 2010 Developing 72.8
## 943 Republic of Moldova 2003 Developing 67.6
## 944 Vanuatu 2014 Developing 71.7
## 945 Madagascar 2003 Developing 59.9
## 946 Mongolia 2015 Developing 68.8
## 947 Sudan 2008 Developing 61.8
## 948 Georgia 2015 Developing 74.4
## 949 Liberia 2001 Developing 51.5
## 950 Grenada 2008 Developing 72.1
## 951 India 2005 Developing 64.4
## 952 Guatemala 2012 Developing 71.3
## 953 Mozambique 2003 Developing 51.0
## 954 Thailand 2010 Developing 73.9
## 955 Romania 2002 Developed 77.0
## 956 El Salvador 2012 Developing 73.0
## 957 Latvia 2007 Developed 78.0
## 958 Egypt 2012 Developing 72.0
## 959 Libya 2002 Developing 71.1
## 960 Lesotho 2002 Developing 46.4
## 961 Chad 2006 Developing 48.5
## 962 Saint Vincent and the Grenadines 2001 Developing 79.0
## 963 Mexico 2006 Developing 75.8
## 964 Egypt 2013 Developing 79.0
## 965 Algeria 2012 Developing 75.1
## 966 Malaysia 2008 Developing 73.8
## 967 Antigua and Barbuda 2012 Developing 75.9
## 968 Côte d'Ivoire 2008 Developing 54.0
## 969 Somalia 2010 Developing 52.4
## 970 Bahamas 2012 Developing 74.9
## 971 Botswana 2001 Developing 46.7
## 972 Afghanistan 2005 Developing 57.3
## 973 Iraq 2010 Developing 76.0
## 974 Republic of Moldova 2009 Developing 69.0
## 975 Mongolia 2013 Developing 68.1
## 976 Thailand 2007 Developing 73.3
## 977 Mozambique 2007 Developing 52.1
## 978 Ghana 2006 Developing 59.4
## 979 Congo 2010 Developing 62.0
## 980 Mauritania 2004 Developing 64.0
## 981 Nicaragua 2005 Developing 71.2
## 982 Ethiopia 2010 Developing 61.8
## 983 Tonga 2001 Developing 71.8
## 984 Belize 2009 Developing 69.5
## 985 Maldives 2002 Developing 71.8
## 986 Equatorial Guinea 2000 Developing 52.7
## 987 Tajikistan 2004 Developing 65.9
## 988 Ghana 2010 Developing 69.0
## 989 Mali 2014 Developing 57.8
## 990 Lao People's Democratic Republic 2010 Developing 63.6
## 991 Vanuatu 2005 Developing 69.9
## 992 Trinidad and Tobago 2001 Developing 69.1
## 993 Guinea-Bissau 2015 Developing 58.9
## 994 Guinea-Bissau 2012 Developing 57.6
## 995 Somalia 2012 Developing 53.1
## 996 Czechia 2003 Developed 75.2
## 997 Kenya 2001 Developing 51.9
## 998 Afghanistan 2009 Developing 58.6
## 999 Mexico 2014 Developing 76.6
## 1000 Eritrea 2014 Developing 64.4
## 1001 Senegal 2004 Developing 59.7
## 1002 Democratic Republic of the Congo 2005 Developing 54.3
## 1003 Philippines 2012 Developing 68.1
## 1004 Turkmenistan 2003 Developing 63.4
## 1005 Nepal 2010 Developing 68.0
## 1006 Slovakia 2009 Developed 75.0
## 1007 Grenada 2000 Developing 74.0
## 1008 Morocco 2008 Developing 71.8
## 1009 Fiji 2004 Developing 68.1
## 1010 Equatorial Guinea 2008 Developing 55.4
## 1011 Samoa 2014 Developing 73.8
## 1012 Togo 2010 Developing 57.4
## 1013 Bangladesh 2014 Developing 71.4
## 1014 Bhutan 2015 Developing 69.8
## 1015 Paraguay 2010 Developing 73.2
## 1016 Uruguay 2002 Developing 75.4
## 1017 Bahamas 2009 Developing 74.6
## 1018 Sierra Leone 2010 Developing 48.1
## 1019 Serbia 2011 Developing 74.6
## 1020 Rwanda 2012 Developing 64.6
## 1021 Tonga 2007 Developing 72.5
## 1022 Azerbaijan 2013 Developing 72.2
## 1023 Ukraine 2000 Developing 67.5
## 1024 Ethiopia 2008 Developing 59.8
## 1025 Yemen 2008 Developing 63.8
## 1026 Uruguay 2009 Developing 76.6
## 1027 Venezuela (Bolivarian Republic of) 2015 Developing 74.1
## 1028 Vanuatu 2013 Developing 71.6
## 1029 Thailand 2014 Developing 74.6
## 1030 Botswana 2010 Developing 61.1
## 1031 The former Yugoslav republic of Macedonia 2002 Developing 72.8
## 1032 Haiti 2012 Developing 62.3
## 1033 Vanuatu 2009 Developing 78.0
## 1034 Mauritius 2007 Developing 72.9
## 1035 Philippines 2010 Developing 67.9
## 1036 Togo 2014 Developing 59.7
## 1037 Libya 2007 Developing 72.5
## 1038 Burundi 2015 Developing 59.6
## 1039 Kazakhstan 2002 Developing 64.7
## 1040 Turkmenistan 2004 Developing 63.5
## 1041 Benin 2007 Developing 57.1
## 1042 Tajikistan 2008 Developing 66.4
## 1043 Nigeria 2007 Developing 55.0
## 1044 Peru 2014 Developing 75.3
## 1045 United Republic of Tanzania 2012 Developing 58.6
## 1046 Congo 2003 Developing 53.2
## 1047 Venezuela (Bolivarian Republic of) 2010 Developing 73.7
## 1048 Republic of Moldova 2000 Developing 67.1
## 1049 Djibouti 2003 Developing 58.0
## 1050 Saint Lucia 2004 Developing 72.6
## 1051 Eritrea 2015 Developing 64.7
## 1052 Grenada 2003 Developing 71.1
## 1053 Slovakia 2002 Developed 73.7
## 1054 Viet Nam 2004 Developing 74.2
## 1055 Equatorial Guinea 2010 Developing 56.1
## 1056 Namibia 2010 Developing 63.0
## 1057 The former Yugoslav republic of Macedonia 2006 Developing 73.7
## 1058 Antigua and Barbuda 2008 Developing 75.2
## 1059 Congo 2008 Developing 59.4
## 1060 Algeria 2008 Developing 74.1
## 1061 Ethiopia 2000 Developing 51.2
## 1062 Uganda 2005 Developing 53.2
## 1063 Mozambique 2014 Developing 56.7
## 1064 Venezuela (Bolivarian Republic of) 2002 Developing 73.1
## 1065 Lithuania 2009 Developed 72.2
## 1066 Serbia 2000 Developing 72.6
## 1067 Benin 2005 Developing 56.5
## 1068 Gambia 2003 Developing 57.0
## 1069 Croatia 2002 Developed 74.8
## 1070 Namibia 2008 Developing 61.7
## 1071 Ecuador 2000 Developing 72.8
## 1072 Egypt 2007 Developing 69.7
## 1073 India 2010 Developing 66.4
## 1074 Morocco 2007 Developing 71.4
## 1075 Hungary 2002 Developed 72.5
## 1076 Viet Nam 2003 Developing 74.0
## 1077 Congo 2001 Developing 52.7
## 1078 Bhutan 2004 Developing 64.2
## 1079 Turkmenistan 2007 Developing 64.1
## 1080 Gambia 2009 Developing 59.0
## 1081 Sri Lanka 2008 Developing 72.3
## 1082 Gambia 2013 Developing 66.0
## 1083 Seychelles 2005 Developing 72.2
## 1084 Libya 2012 Developing 72.9
## 1085 Fiji 2012 Developing 69.4
## 1086 Turkmenistan 2001 Developing 64.0
## 1087 Viet Nam 2014 Developing 75.9
## 1088 Niger 2002 Developing 51.4
## 1089 Poland 2000 Developed 73.7
## 1090 Gambia 2012 Developing 62.0
## 1091 Sao Tome and Principe 2005 Developing 64.3
## 1092 Nepal 2011 Developing 68.4
## 1093 Bhutan 2009 Developing 67.4
## 1094 Sudan 2015 Developing 64.1
## 1095 Yemen 2000 Developing 68.0
## 1096 Senegal 2003 Developing 59.0
## 1097 Ukraine 2009 Developing 69.2
## 1098 Belize 2006 Developing 69.4
## 1099 Democratic People's Republic of Korea 2013 Developing 71.0
## 1100 Slovenia 2001 Developed 76.2
## 1101 Senegal 2001 Developing 57.9
## 1102 Turkmenistan 2015 Developing 66.3
## 1103 Sao Tome and Principe 2012 Developing 66.9
## 1104 Poland 2012 Developed 76.8
## 1105 Cameroon 2007 Developing 53.6
## 1106 Bahamas 2000 Developing 72.6
## 1107 Panama 2013 Developing 77.5
## 1108 Brazil 2003 Developing 71.8
## 1109 Uganda 2013 Developing 67.0
## 1110 Somalia 2005 Developing 51.6
## 1111 Lesotho 2007 Developing 46.2
## 1112 Angola 2003 Developing 46.8
## 1113 Venezuela (Bolivarian Republic of) 2005 Developing 73.6
## 1114 Jordan 2006 Developing 72.8
## 1115 Romania 2010 Developed 73.4
## 1116 Honduras 2014 Developing 74.5
## 1117 Tajikistan 2006 Developing 65.9
## 1118 Lao People's Democratic Republic 2009 Developing 63.1
## 1119 Cabo Verde 2009 Developing 72.4
## 1120 Cambodia 2005 Developing 62.9
## 1121 Niger 2009 Developing 57.1
## 1122 Bulgaria 2004 Developed 72.2
## 1123 Burundi 2001 Developing 51.3
## 1124 Belize 2010 Developing 69.5
## 1125 Mauritius 2005 Developing 72.1
## 1126 Benin 2006 Developing 56.8
## 1127 Estonia 2007 Developing 73.0
## 1128 Nicaragua 2000 Developing 73.0
## 1129 Equatorial Guinea 2006 Developing 54.8
## 1130 Iraq 2014 Developing 67.9
## 1131 Benin 2008 Developing 57.6
## 1132 Papua New Guinea 2011 Developing 62.0
## 1133 Antigua and Barbuda 2006 Developing 74.8
## 1134 Azerbaijan 2004 Developing 68.4
## 1135 Sao Tome and Principe 2003 Developing 63.4
## 1136 Morocco 2009 Developing 72.3
## 1137 Democratic Republic of the Congo 2004 Developing 53.5
## 1138 Niger 2013 Developing 69.0
## 1139 Comoros 2010 Developing 61.8
## 1140 Mauritius 2000 Developing 71.0
## 1141 Nicaragua 2009 Developing 73.2
## 1142 Gambia 2008 Developing 58.7
## 1143 Gambia 2007 Developing 58.5
## 1144 Papua New Guinea 2002 Developing 59.3
## 1145 Guinea 2004 Developing 54.0
## 1146 United States of America 2004 Developed 77.5
## 1147 Grenada 2005 Developing 71.5
## 1148 Honduras 2006 Developing 72.8
## 1149 Cambodia 2008 Developing 65.6
## 1150 Afghanistan 2011 Developing 59.2
## 1151 Gabon 2000 Developing 61.0
## 1152 Egypt 2003 Developing 68.6
## 1153 Peru 2007 Developing 74.0
## 1154 Paraguay 2006 Developing 72.3
## 1155 Tajikistan 2011 Developing 68.1
## 1156 Viet Nam 2013 Developing 75.7
## 1157 Mexico 2011 Developing 76.1
## 1158 Lithuania 2014 Developed 73.4
## 1159 Mauritius 2003 Developing 71.5
## 1160 Lao People's Democratic Republic 2003 Developing 59.8
## 1161 Russian Federation 2015 Developing 75.0
## 1162 Benin 2013 Developing 59.5
## 1163 Jordan 2011 Developing 73.6
## 1164 Madagascar 2012 Developing 64.3
## 1165 Namibia 2003 Developing 55.0
## 1166 Somalia 2006 Developing 51.5
## 1167 Samoa 2002 Developing 76.0
## 1168 Colombia 2007 Developing 73.5
## 1169 Dominican Republic 2001 Developing 71.2
## 1170 Eritrea 2003 Developing 58.8
## 1171 Gabon 2013 Developing 64.6
## 1172 Montenegro 2002 Developing 73.4
## 1173 Slovakia 2003 Developed 73.8
## 1174 Thailand 2002 Developing 71.4
## 1175 Guatemala 2013 Developing 71.4
## 1176 Kenya 2002 Developing 52.1
## 1177 Brazil 2001 Developing 71.0
## 1178 Cambodia 2010 Developing 66.6
## 1179 Saint Vincent and the Grenadines 2009 Developing 72.3
## 1180 Dominican Republic 2009 Developing 73.6
## 1181 Brazil 2007 Developing 73.3
## 1182 Malawi 2006 Developing 47.1
## 1183 Gambia 2002 Developing 56.6
## 1184 Suriname 2013 Developing 71.2
## 1185 Belarus 2009 Developing 70.0
## 1186 Malawi 2011 Developing 54.1
## 1187 Turkey 2007 Developing 73.2
## 1188 Turkey 2002 Developing 71.2
## 1189 Colombia 2002 Developing 71.8
## 1190 Lithuania 2012 Developed 73.0
## 1191 Kazakhstan 2001 Developing 64.4
## 1192 Montenegro 2003 Developing 73.5
## 1193 Zambia 2000 Developing 43.8
## 1194 Pakistan 2007 Developing 64.4
## 1195 Jamaica 2002 Developing 73.0
## 1196 Viet Nam 2006 Developing 74.6
## 1197 Timor-Leste 2008 Developing 66.2
## 1198 Equatorial Guinea 2001 Developing 53.1
## 1199 Iran (Islamic Republic of) 2009 Developing 73.3
## 1200 Namibia 2007 Developing 60.0
## 1201 Libya 2008 Developing 72.6
## 1202 Cabo Verde 2010 Developing 72.5
## 1203 Benin 2004 Developing 56.1
## 1204 Guinea 2001 Developing 52.5
## 1205 Uganda 2011 Developing 59.3
## 1206 Turkey 2012 Developing 74.8
## 1207 Poland 2006 Developed 75.2
## 1208 South Sudan 2013 Developing 56.4
## 1209 Saint Lucia 2011 Developing 74.6
## 1210 Central African Republic 2014 Developing 58.0
## 1211 Kazakhstan 2009 Developing 67.8
## 1212 Fiji 2011 Developing 69.2
## 1213 Niger 2005 Developing 53.7
## 1214 Trinidad and Tobago 2002 Developing 69.2
## 1215 Zimbabwe 2003 Developing 44.5
## 1216 United Republic of Tanzania 2006 Developing 53.1
## 1217 Lesotho 2006 Developing 45.3
## 1218 Senegal 2014 Developing 66.4
## 1219 Libya 2011 Developing 71.3
## 1220 Yemen 2011 Developing 64.6
## 1221 Somalia 2013 Developing 54.2
## 1222 Viet Nam 2007 Developing 74.7
## 1223 Samoa 2009 Developing 76.0
## 1224 Slovakia 2001 Developed 73.3
## 1225 Armenia 2013 Developing 74.4
## 1226 Djibouti 2000 Developing 57.4
## 1227 Côte d'Ivoire 2006 Developing 49.4
## 1228 United States of America 2002 Developed 77.0
## 1229 Argentina 2000 Developing 74.1
## 1230 Dominican Republic 2012 Developing 72.1
## 1231 Indonesia 2000 Developing 66.3
## 1232 Malawi 2009 Developing 51.5
## 1233 Malaysia 2007 Developing 73.7
## 1234 Azerbaijan 2014 Developing 72.5
## 1235 Georgia 2010 Developing 73.8
## 1236 Samoa 2004 Developing 71.4
## 1237 Papua New Guinea 2013 Developing 62.4
## 1238 Mauritius 2012 Developing 73.9
## 1239 Nigeria 2013 Developing 53.2
## 1240 Kyrgyzstan 2002 Developing 66.7
## 1241 Trinidad and Tobago 2009 Developing 71.0
## 1242 Montenegro 2011 Developing 75.4
## 1243 Ecuador 2006 Developing 74.4
## 1244 Uzbekistan 2007 Developing 67.8
## 1245 Ecuador 2014 Developing 76.0
## 1246 Bahamas 2007 Developing 74.4
## 1247 Estonia 2008 Developing 74.2
## 1248 India 2015 Developing 68.3
## 1249 Somalia 2001 Developing 57.0
## 1250 Argentina 2014 Developing 76.2
## 1251 Jordan 2008 Developing 73.1
## 1252 Kyrgyzstan 2007 Developing 67.2
## 1253 Kenya 2011 Developing 61.2
## 1254 Nepal 2004 Developing 64.7
## 1255 Belarus 2014 Developing 72.0
## 1256 Democratic Republic of the Congo 2013 Developing 58.8
## 1257 Romania 2005 Developed 71.9
## 1258 Lithuania 2005 Developed 78.0
## 1259 Zimbabwe 2015 Developing 67.0
## 1260 Honduras 2003 Developing 71.9
## 1261 Egypt 2009 Developing 69.9
## 1262 Democratic Republic of the Congo 2002 Developing 52.1
## 1263 Latvia 2015 Developed 74.6
## 1264 Kazakhstan 2003 Developing 64.4
## 1265 Morocco 2001 Developing 69.0
## 1266 Cameroon 2008 Developing 54.2
## 1267 Venezuela (Bolivarian Republic of) 2008 Developing 73.2
## 1268 Bosnia and Herzegovina 2000 Developing 74.6
## 1269 Kenya 2004 Developing 53.0
## 1270 Ukraine 2007 Developing 67.5
## 1271 Estonia 2001 Developing 78.0
## 1272 Nigeria 2008 Developing 59.0
## 1273 Sri Lanka 2004 Developing 69.1
## 1274 Syrian Arab Republic 2003 Developing 73.0
## 1275 Lao People's Democratic Republic 2001 Developing 58.7
## 1276 Comoros 2011 Developing 62.2
## 1277 Fiji 2005 Developing 68.3
## 1278 Serbia 2007 Developing 73.8
## 1279 Peru 2003 Developing 72.1
## 1280 Sao Tome and Principe 2014 Developing 67.3
## 1281 Pakistan 2001 Developing 63.0
## 1282 Somalia 2004 Developing 51.2
## 1283 Democratic People's Republic of Korea 2007 Developing 68.5
## 1284 Micronesia (Federated States of) 2014 Developing 69.4
## 1285 Central African Republic 2015 Developing 52.5
## 1286 Mongolia 2002 Developing 63.8
## 1287 Libya 2001 Developing 71.0
## 1288 Yemen 2010 Developing 64.4
## 1289 Gabon 2007 Developing 61.6
## 1290 Mali 2011 Developing 56.8
## 1291 Jordan 2003 Developing 72.3
## 1292 Guyana 2008 Developing 66.3
## 1293 Nepal 2012 Developing 68.9
## 1294 Papua New Guinea 2010 Developing 61.8
## 1295 Angola 2005 Developing 47.4
## 1296 Niger 2011 Developing 59.4
## 1297 Micronesia (Federated States of) 2011 Developing 68.9
## 1298 Honduras 2009 Developing 73.4
## 1299 Botswana 2011 Developing 62.2
## 1300 Kiribati 2005 Developing 64.9
## 1301 Samoa 2012 Developing 73.2
## 1302 Djibouti 2007 Developing 59.8
## 1303 Botswana 2007 Developing 56.9
## 1304 Iraq 2006 Developing 64.7
## 1305 Comoros 2012 Developing 62.5
## 1306 Guinea 2005 Developing 54.7
## 1307 Republic of Moldova 2006 Developing 68.0
## 1308 Libya 2006 Developing 72.2
## 1309 Mali 2003 Developing 52.0
## 1310 Kenya 2000 Developing 51.9
## 1311 Guyana 2015 Developing 66.2
## 1312 Hungary 2000 Developed 71.7
## 1313 Lesotho 2012 Developing 52.2
## 1314 Pakistan 2014 Developing 66.2
## 1315 Brazil 2009 Developing 73.6
## 1316 Solomon Islands 2015 Developing 69.2
## 1317 Uzbekistan 2013 Developing 69.1
## 1318 Liberia 2002 Developing 56.0
## 1319 Cuba 2000 Developing 76.9
## 1320 Zambia 2014 Developing 61.1
## 1321 Sierra Leone 2001 Developing 41.0
## 1322 Ghana 2014 Developing 62.1
## 1323 Argentina 2009 Developing 75.6
## 1324 Suriname 2008 Developing 69.8
## 1325 Ukraine 2002 Developing 67.6
## 1326 Sri Lanka 2014 Developing 74.7
## 1327 Serbia 2009 Developing 74.1
## 1328 Cameroon 2006 Developing 53.3
## 1329 Indonesia 2011 Developing 68.3
## 1330 Chad 2013 Developing 52.2
## 1331 Kiribati 2001 Developing 64.3
## 1332 Bulgaria 2008 Developed 72.9
## 1333 Trinidad and Tobago 2012 Developing 78.0
## 1334 Democratic Republic of the Congo 2008 Developing 56.3
## 1335 Paraguay 2009 Developing 73.0
## 1336 Indonesia 2001 Developing 66.5
## 1337 Czechia 2004 Developed 75.8
## 1338 Uruguay 2008 Developing 76.4
## 1339 Timor-Leste 2002 Developing 62.0
## 1340 Nepal 2007 Developing 66.6
## 1341 Saint Lucia 2008 Developing 74.1
## 1342 Syrian Arab Republic 2008 Developing 73.8
## 1343 Nicaragua 2014 Developing 74.5
## 1344 Malaysia 2012 Developing 74.5
## 1345 Suriname 2006 Developing 69.3
## 1346 Tonga 2006 Developing 72.4
## 1347 Kenya 2009 Developing 59.1
## 1348 Comoros 2005 Developing 60.0
## 1349 Saint Lucia 2003 Developing 72.2
## 1350 Samoa 2011 Developing 73.0
## 1351 Zimbabwe 2013 Developing 58.0
## 1352 Estonia 2014 Developing 77.3
## 1353 Dominican Republic 2002 Developing 71.4
## 1354 Tonga 2002 Developing 71.9
## 1355 Sri Lanka 2009 Developing 71.8
## 1356 Jamaica 2004 Developing 73.3
## 1357 Czechia 2005 Developed 75.9
## 1358 Indonesia 2006 Developing 67.3
## 1359 Libya 2004 Developing 71.5
## 1360 Colombia 2000 Developing 71.4
## 1361 Tonga 2000 Developing 71.6
## 1362 Oman 2001 Developing 72.9
## 1363 Cameroon 2011 Developing 55.6
## 1364 Latvia 2001 Developed 69.9
## 1365 Ecuador 2001 Developing 73.4
## 1366 Mauritania 2008 Developing 61.4
## 1367 Central African Republic 2009 Developing 48.6
## 1368 Sri Lanka 2015 Developing 74.9
## 1369 Uruguay 2005 Developing 75.7
## 1370 Ethiopia 2004 Developing 55.0
## 1371 Micronesia (Federated States of) 2000 Developing 67.0
## 1372 Eritrea 2002 Developing 58.5
## 1373 Trinidad and Tobago 2006 Developing 69.6
## 1374 Solomon Islands 2009 Developing 68.1
## 1375 Syrian Arab Republic 2004 Developing 73.2
## 1376 Uzbekistan 2014 Developing 69.2
## 1377 Mali 2008 Developing 55.5
## 1378 Cabo Verde 2002 Developing 77.0
## 1379 Viet Nam 2011 Developing 75.4
## 1380 Peru 2000 Developing 71.4
## 1381 Republic of Moldova 2001 Developing 67.6
## Adult.Mortality infant.deaths Alcohol percentage.expenditure Hepatitis.B
## 1 243 62 1.77 172.00978840 75
## 2 135 104 0.01 52.82986467 96
## 3 151 4 3.11 363.57216440 97
## 4 282 56 0.55 81.84050070 74
## 5 249 37 NA 0.00000000 88
## 6 232 1 7.20 362.87022710 94
## 7 652 2 4.90 469.58238980 91
## 8 271 41 1.76 30.72290501 94
## 9 198 0 NA 0.00000000 82
## 10 137 30 2.03 0.00000000 NA
## 11 193 12 0.60 10.68147485 39
## 12 199 0 11.84 253.40223380 93
## 13 163 0 2.95 0.10805597 99
## 14 145 0 1.10 569.62550350 84
## 15 362 490 0.01 263.21110310 49
## 16 228 37 0.01 0.00000000 73
## 17 184 1 13.24 1030.22027100 NA
## 18 111 0 1.77 0.00000000 95
## 19 293 6 NA 0.00000000 41
## 20 232 3 0.01 760.65505530 89
## 21 147 3 3.39 321.61325930 98
## 22 198 9 3.93 0.00000000 95
## 23 161 0 9.19 0.00000000 98
## 24 113 0 8.47 1641.30981000 93
## 25 171 1 3.46 24.82762854 NA
## 26 355 15 1.01 3.98992847 NA
## 27 133 2 NA 0.00000000 9
## 28 148 16 4.26 42.17956418 89
## 29 138 3 0.48 264.24961290 95
## 30 258 236 NA 0.00000000 81
## 31 228 1 0.28 244.03919490 91
## 32 251 25 1.40 110.26336190 75
## 33 648 5 1.99 5.30090204 17
## 34 129 20 0.44 320.32392410 9
## 35 229 14 10.58 1529.49777100 97
## 36 226 12 2.66 0.00000000 84
## 37 122 1 5.66 882.35636200 94
## 38 568 3 6.72 143.61973160 86
## 39 153 0 1.79 45.85105771 85
## 40 717 28 4.14 8.71740870 65
## 41 219 63 4.08 121.36254670 77
## 42 439 16 0.01 7.34480821 47
## 43 295 87 0.01 11.08905273 65
## 44 225 1 6.71 0.00000000 99
## 45 221 68 4.54 69.02042450 45
## 46 252 1 0.38 24.73299655 78
## 47 175 5 1.45 60.49098150 NA
## 48 113 4 0.41 63.87845220 98
## 49 218 0 7.49 466.66936980 98
## 50 194 18 5.88 0.27564826 95
## 51 138 0 10.28 0.00000000 99
## 52 138 0 NA 0.00000000 99
## 53 337 35 0.21 21.33781840 NA
## 54 138 1 NA 0.00000000 97
## 55 316 12 4.19 22.39648813 NA
## 56 274 27 1.51 0.32841806 NA
## 57 225 1 12.27 0.00000000 99
## 58 218 0 7.56 345.90442580 98
## 59 162 0 9.34 0.00000000 95
## 60 284 26 NA 0.00000000 54
## 61 172 0 0.01 1521.67275100 99
## 62 275 7 0.01 0.00000000 9
## 63 312 50 NA 0.00000000 42
## 64 242 23 0.33 96.03725103 84
## 65 288 11 0.82 20.53327531 66
## 66 185 0 8.12 102.37390900 99
## 67 334 3 7.13 309.78345870 NA
## 68 127 1 8.14 198.94876000 89
## 69 394 8 2.03 0.00000000 NA
## 70 268 21 1.44 55.59543946 NA
## 71 157 3 6.14 34.73924576 87
## 72 132 6 2.10 22.48638351 74
## 73 111 0 5.97 417.91174410 95
## 74 146 0 3.97 47.35260547 12
## 75 131 0 0.01 698.35227860 6
## 76 176 0 NA 0.00000000 89
## 77 187 371 0.01 22.39387584 NA
## 78 296 59 0.30 9.53048032 85
## 79 249 54 NA 0.00000000 89
## 80 133 1 6.66 18.53143030 54
## 81 128 1 7.17 151.76256700 89
## 82 587 3 5.52 131.04212690 88
## 83 396 549 9.66 10.35779424 27
## 84 115 28 8.25 0.00000000 89
## 85 231 69 0.40 3.82421247 8
## 86 296 58 0.49 57.11644801 73
## 87 127 9 0.92 116.25859430 83
## 88 114 28 8.21 0.00000000 9
## 89 483 3 4.80 368.28482580 NA
## 90 427 2 6.56 476.86258720 94
## 91 723 27 4.36 0.00000000 68
## 92 272 52 0.12 40.37835666 NA
## 93 188 0 16.58 244.35108010 95
## 94 189 15 6.14 282.83646120 96
## 95 215 0 4.36 62.85658630 99
## 96 174 4 8.78 375.17403230 98
## 97 112 4 1.21 264.78421960 94
## 98 151 0 1.80 423.29535090 9
## 99 139 6 NA 0.00000000 96
## 100 161 9 3.35 0.00000000 93
## 101 229 0 10.40 1099.24883700 94
## 102 115 1 4.04 322.58631490 98
## 103 141 3 3.03 20.83302367 99
## 104 276 42 1.05 42.56331585 NA
## 105 118 1 NA 0.00000000 73
## 106 148 8 NA 0.00000000 99
## 107 163 3 6.38 20.68037294 92
## 108 163 5 3.23 203.71348820 97
## 109 221 68 4.42 0.09987219 42
## 110 533 29 3.97 20.39568283 NA
## 111 131 1 6.65 645.95838160 92
## 112 129 0 4.25 26.45133197 95
## 113 288 28 0.01 4.34493086 62
## 114 259 34 0.68 6.44876261 77
## 115 171 1 3.89 160.23824160 NA
## 116 332 49 4.58 41.60951275 NA
## 117 114 4 0.40 546.62351560 98
## 118 374 521 8.90 133.12308720 49
## 119 164 6 6.05 74.82174880 81
## 120 254 33 0.91 71.16601203 77
## 121 139 7 3.76 197.93030770 93
## 122 188 4 3.28 0.00000000 96
## 123 159 9 6.71 0.00000000 82
## 124 339 64 1.71 60.51535060 88
## 125 536 3 7.19 25.21683318 83
## 126 354 8 2.75 0.00000000 64
## 127 152 51 7.58 1084.99976600 98
## 128 259 25 1.16 71.01399249 79
## 129 199 0 4.99 262.82991890 97
## 130 135 35 1.42 459.11130610 68
## 131 347 42 7.38 922.05073130 8
## 132 121 1 NA 0.00000000 94
## 133 368 8 2.25 0.00000000 NA
## 134 256 2 NA 0.00000000 95
## 135 526 33 2.25 1.86000374 81
## 136 128 1 5.91 180.37870340 96
## 137 288 2 8.01 40.53719812 52
## 138 199 39 NA 0.00000000 89
## 139 148 3 0.01 457.32022360 92
## 140 235 6 2.40 34.23979419 96
## 141 161 0 10.37 150.31168840 94
## 142 297 29 0.18 24.84763562 57
## 143 248 6 2.85 2.19888585 99
## 144 177 0 9.72 1121.47554700 99
## 145 127 49 4.77 12.18597230 97
## 146 344 14 1.37 0.67568294 NA
## 147 192 24 1.78 40.13342094 99
## 148 174 3 0.01 0.00000000 97
## 149 148 32 0.20 185.63669830 75
## 150 323 86 4.20 0.00000000 91
## 151 159 2 0.01 30.17998548 83
## 152 172 0 2.06 0.00000000 89
## 153 665 24 1.68 0.00000000 79
## 154 156 0 15.04 1717.08871100 95
## 155 263 1 0.52 217.21257860 81
## 156 122 1 6.94 1199.31997600 94
## 157 126 1 6.18 110.11382860 84
## 158 459 2 4.93 56.93670561 89
## 159 157 8 3.12 0.00000000 93
## 160 329 8 0.01 54.37396957 5
## 161 693 2 5.51 299.36712520 9
## 162 217 4 2.62 0.00000000 57
## 163 411 94 4.40 0.00000000 83
## 164 138 1 12.03 153.14003620 95
## 165 182 1 12.94 1317.08348000 NA
## 166 314 11 0.58 158.00194600 6
## 167 174 6 2.61 28.80831098 93
## 168 169 0 4.17 24.99717134 83
## 169 274 2 2.75 98.68367951 98
## 170 153 8 3.39 0.00000000 94
## 171 278 69 1.74 35.35264737 NA
## 172 163 10 0.01 1.04191640 96
## 173 237 1 9.66 0.00000000 95
## 174 154 3 10.60 919.16734380 99
## 175 153 0 1.18 345.33905600 61
## 176 176 0 1.24 171.13736110 66
## 177 198 4 NA 0.00000000 98
## 178 131 7 3.99 344.74121640 88
## 179 242 39 0.04 0.00000000 78
## 180 127 4 0.55 27.44252286 95
## 181 168 55 0.22 0.00000000 96
## 182 166 1 3.48 155.58846770 36
## 183 133 22 0.58 127.76320050 95
## 184 223 0 0.01 188.73736640 97
## 185 144 30 0.20 0.00000000 67
## 186 165 17 NA 0.00000000 91
## 187 175 0 1.64 0.00000000 9
## 188 238 1 0.16 283.80623600 95
## 189 336 7 0.97 10.60269773 94
## 190 271 2 0.26 45.09010835 28
## 191 184 15 NA 0.00000000 99
## 192 178 0 9.61 81.11355954 96
## 193 119 8 8.28 1001.79633200 94
## 194 593 7 0.83 0.73594036 NA
## 195 149 0 7.28 22.86295206 97
## 196 237 1 7.84 1.77618104 91
## 197 383 29 NA 0.00000000 NA
## 198 397 26 6.75 31.93566186 89
## 199 173 0 1.20 27.29839073 64
## 200 143 3 2.80 20.76877311 99
## 201 128 1 4.70 9.44487542 79
## 202 119 1 6.74 1842.46378200 8
## 203 115 0 6.56 635.48493810 9
## 204 292 9 6.00 112.54115700 99
## 205 233 12 0.01 11.71090655 98
## 206 116 21 1.49 32.78235828 96
## 207 145 4 1.96 120.24717130 98
## 208 144 0 4.16 209.08650000 66
## 209 554 34 2.33 121.87933100 82
## 210 177 369 0.03 5.44713361 65
## 211 147 3 NA 0.00000000 97
## 212 176 0 6.50 144.98507110 9
## 213 138 12 7.81 470.18691450 66
## 214 321 88 0.01 10.42496000 62
## 215 118 23 1.40 106.94828980 94
## 216 512 17 1.50 41.50111735 NA
## 217 149 4 0.54 23.37167228 97
## 218 158 185 0.01 4.11469667 11
## 219 383 29 NA 0.00000000 NA
## 220 159 4 3.14 231.91129150 92
## 221 183 0 0.01 3.71843880 88
## 222 279 56 0.11 20.86118432 NA
## 223 288 8 7.44 499.73041200 94
## 224 295 84 0.03 17.17151751 64
## 225 171 0 11.07 0.00000000 96
## 226 146 4 2.29 127.63775050 98
## 227 146 33 0.01 0.00000000 94
## 228 368 30 2.30 143.86988730 94
## 229 132 1 3.81 97.74087744 91
## 230 287 80 0.03 25.87392536 64
## 231 188 0 6.64 605.62868920 95
## 232 215 0 1.18 16.83170578 79
## 233 297 5 2.64 28.30191127 NA
## 234 142 23 0.56 100.36383220 95
## 235 152 2 NA 0.00000000 76
## 236 136 0 0.01 33.66981355 NA
## 237 227 31 0.14 146.76064880 56
## 238 134 1 3.74 7.13256477 64
## 239 153 4 3.10 32.16407994 97
## 240 121 0 0.01 33.55888998 94
## 241 298 6 0.61 17.35739784 9
## 242 172 372 0.04 0.66751505 82
## 243 187 10 1.88 657.52827970 73
## 244 212 8 0.01 79.27658464 75
## 245 276 53 0.10 35.80929749 NA
## 246 527 29 5.21 53.30858081 9
## 247 218 66 4.45 13.39905105 48
## 248 137 7 3.87 282.14400660 91
## 249 686 25 1.72 0.00000000 76
## 250 179 119 0.09 200.06844430 78
## 251 254 25 1.33 94.25737917 76
## 252 348 88 4.04 0.00000000 9
## 253 133 0 NA 527.30767210 NA
## 254 124 44 4.90 920.82841150 98
## 255 632 30 3.56 20.84342867 75
## 256 157 1 10.89 591.51009780 95
## 257 278 14 5.16 0.00000000 NA
## 258 217 0 7.64 4.14129335 98
## 259 238 14 2.20 0.00000000 77
## 260 145 2 NA 0.00000000 98
## 261 229 7 0.01 28.78224500 NA
## 262 224 0 4.29 268.18379720 NA
## 263 251 2 0.17 56.98952474 83
## 264 224 37 NA 0.00000000 69
## 265 157 3 8.51 665.64275460 99
## 266 215 6 2.35 37.88466056 97
## 267 149 3 7.74 466.73831060 95
## 268 199 0 11.64 132.72339220 NA
## 269 335 66 NA 0.00000000 64
## 270 129 92 NA 0.00000000 97
## 271 438 2 5.20 735.70909780 91
## 272 426 34 7.13 18.41791804 NA
## 273 177 63 0.14 0.00000000 99
## 274 219 1 8.25 0.00000000 98
## 275 163 0 10.21 1356.02216400 9
## 276 241 31 0.97 78.79967196 73
## 277 137 0 0.01 584.94498860 82
## 278 273 54 0.60 9.58558439 72
## 279 276 2 8.30 805.39252840 82
## 280 246 11 3.68 0.00000000 49
## 281 211 52 0.28 11.05247903 91
## 282 138 25 0.02 0.00000000 97
## 283 268 1 0.39 20.35974738 87
## 284 121 2 2.76 57.10318825 61
## 285 194 13 0.86 1.14200381 NA
## 286 153 0 3.52 40.22855669 35
## 287 133 4 0.49 227.29661700 93
## 288 158 2 10.40 14.96373588 95
## 289 161 10 NA 0.00000000 96
## 290 138 2 0.01 472.30470340 97
## 291 345 14 0.95 2.04857487 NA
## 292 473 64 3.12 0.00000000 63
## 293 138 12 7.76 123.01286710 NA
## 294 263 59 1.81 154.22696970 94
## 295 126 1 9.38 742.51097090 97
## 296 461 67 3.45 0.00000000 NA
## 297 146 2 NA 0.00000000 93
## 298 283 44 4.55 81.14304705 92
## 299 134 1 7.42 462.70767560 89
## 300 281 10 3.88 40.03344077 64
## 301 115 0 8.39 181.50008560 84
## 302 154 0 7.51 163.76769780 96
## 303 174 0 0.01 177.26339610 99
## 304 145 11 4.41 15.16255482 91
## 305 412 60 4.64 67.63925302 NA
## 306 299 236 1.52 0.00000000 7
## 307 183 25 0.22 6.19357029 89
## 308 225 22 0.28 1.08833088 88
## 309 189 0 15.52 153.50452630 95
## 310 485 55 6.93 519.15637810 71
## 311 198 12 2.14 445.44233710 92
## 312 334 3 6.01 234.78742070 NA
## 313 117 0 0.01 414.02424180 97
## 314 287 8 6.55 33.91660183 99
## 315 157 2 3.58 366.48418040 98
## 316 135 28 3.58 0.00000000 87
## 317 151 154 0.01 46.36536703 95
## 318 358 72 8.24 256.12252430 75
## 319 142 30 0.17 0.00000000 66
## 320 138 0 0.01 427.98852220 64
## 321 143 10 NA 0.00000000 91
## 322 126 0 5.28 345.46371400 96
## 323 263 40 1.64 225.22194740 91
## 324 265 37 0.72 33.74786198 81
## 325 143 0 8.42 789.27646150 97
## 326 139 28 0.01 0.00000000 95
## 327 142 0 9.99 0.00000000 98
## 328 237 14 10.99 178.82259110 97
## 329 166 4 6.64 155.42330760 86
## 330 271 2 0.08 29.41897495 NA
## 331 147 0 11.09 0.00000000 95
## 332 344 3 10.99 1493.05127700 NA
## 333 355 15 1.02 2.99595982 NA
## 334 215 8 0.01 11.14504291 64
## 335 183 19 2.83 140.69052840 99
## 336 243 73 0.35 2.51143729 NA
## 337 116 8 NA 0.00000000 94
## 338 449 97 3.94 0.00000000 9
## 339 369 237 0.80 10.82452594 NA
## 340 434 78 1.20 58.59644487 75
## 341 554 116 10.47 22.59447461 NA
## 342 165 2 0.09 36.19948700 72
## 343 147 0 0.01 917.46762800 98
## 344 156 0 NA 0.00000000 98
## 345 232 60 0.01 227.83532080 93
## 346 146 5 1.69 72.42808940 32
## 347 262 2 0.25 77.02839580 69
## 348 192 0 0.01 460.64878050 99
## 349 426 3 5.09 205.80788330 NA
## 350 219 0 0.01 19.79057439 97
## 351 213 3 2.77 440.60270420 89
## 352 344 14 1.33 69.35924758 24
## 353 117 2 NA 0.00000000 96
## 354 258 58 1.84 165.93049770 93
## 355 166 9 7.59 0.00000000 84
## 356 176 7 6.58 44.79247812 68
## 357 397 51 7.30 45.96380839 73
## 358 286 6 0.62 20.97991915 96
## 359 172 10 6.30 0.00000000 72
## 360 287 4 3.21 53.30782696 83
## 361 114 0 NA 0.00000000 96
## 362 113 0 3.85 143.29474870 NA
## 363 485 104 9.89 36.60609252 62
## 364 168 219 0.01 3.39506978 NA
## 365 415 59 3.24 0.00000000 82
## 366 259 2 0.16 9.08763819 75
## 367 412 2 0.01 720.23339290 95
## 368 523 112 10.42 2.69089784 29
## 369 511 17 1.50 40.92207976 NA
## 370 147 15 4.53 62.43710774 93
## 371 348 47 0.01 0.00000000 NA
## 372 126 10 8.41 1413.73543000 9
## 373 265 13 3.33 0.00000000 NA
## 374 232 49 0.01 29.75517982 71
## 375 294 14 0.01 41.60027954 84
## 376 117 0 9.29 1617.47341800 NA
## 377 152 0 3.81 150.74348620 NA
## 378 159 51 NA 0.00000000 93
## 379 185 0 8.12 916.47417750 99
## 380 161 6 6.12 49.09241952 81
## 381 157 0 1.01 342.49085560 6
## 382 236 7 6.83 11.15162680 99
## 383 192 0 0.01 200.66009880 97
## 384 124 1 6.67 14.47305874 94
## 385 168 0 2.98 0.00000000 82
## 386 148 3 5.03 573.43469820 86
## 387 136 0 11.37 0.00000000 99
## 388 211 52 NA 0.00000000 6
## 389 184 18 0.01 16.71406295 99
## 390 135 9 1.25 91.70356833 8
## 391 295 20 6.78 7.40977160 97
## 392 124 0 4.16 360.62088250 98
## 393 121 6 3.77 59.12850204 87
## 394 366 47 0.01 61.39263642 87
## 395 134 0 4.26 3.34981697 93
## 396 117 4 0.51 715.97090920 98
## 397 588 51 1.18 13.76270195 NA
## 398 357 45 NA 0.00000000 84
## 399 339 3 6.86 1024.51954300 NA
## 400 275 53 0.01 36.86104319 69
## 401 459 103 2.34 0.00000000 95
## 402 246 1 6.63 16.75480888 NA
## 403 277 70 1.59 30.62287548 NA
## 404 279 85 NA 0.00000000 98
## 405 164 207 0.01 0.39722876 NA
## 406 144 135 0.01 53.26400378 97
## 407 413 22 NA 0.00000000 86
## 408 218 57 4.96 191.49497790 87
## 409 132 2 0.01 52.50394196 98
## 410 157 1 10.20 33.26778134 88
## 411 167 32 0.17 192.15629980 66
## 412 566 2 6.37 629.84256430 92
## 413 128 3 0.53 110.67797110 96
## 414 169 0 0.85 334.16733730 63
## 415 116 0 NA 0.00000000 95
## 416 116 4 10.33 0.00000000 93
## 417 222 0 0.46 11.07543331 9
## 418 459 54 7.04 346.53160070 72
## 419 171 0 6.94 1578.87233900 92
## 420 177 0 4.38 70.15536981 92
## 421 164 9 3.16 0.00000000 92
## 422 147 144 0.01 42.48865034 96
## 423 177 0 6.58 670.09208830 95
## 424 273 7 0.01 0.00000000 62
## 425 234 11 5.00 0.00000000 5
## 426 418 26 3.78 54.66591750 89
## 427 216 0 0.01 209.39213440 99
## 428 179 11 0.01 12.17952064 88
## 429 176 57 0.16 0.00000000 97
## 430 118 1 0.63 854.01157580 99
## 431 295 82 0.02 10.91015598 63
## 432 119 0 NA 0.00000000 91
## 433 196 12 2.14 443.32482540 94
## 434 219 0 4.23 191.21350440 NA
## 435 183 25 1.54 28.52135777 99
## 436 262 3 NA 0.00000000 97
## 437 611 43 2.61 46.83027463 NA
## 438 219 69 4.73 11.69704463 7
## 439 133 0 8.58 1991.43037200 99
## 440 195 0 15.07 101.12011610 9
## 441 121 1 5.11 160.84001410 91
## 442 195 15 2.13 48.35423978 92
## 443 178 0 6.32 1132.43251700 85
## 444 147 0 NA 0.00000000 95
## 445 321 22 4.16 3.59598033 96
## 446 464 30 3.80 38.00075788 NA
## 447 331 11 0.68 93.37278497 59
## 448 284 71 1.76 30.86000992 NA
## 449 165 369 0.04 59.65900139 72
## 450 123 8 NA 0.00000000 9
## 451 127 0 7.43 1140.61575400 NA
## 452 236 36 0.04 0.00000000 67
## 453 484 4 NA 0.00000000 93
## 454 371 84 7.07 249.91019580 69
## 455 138 1 3.65 37.17108782 96
## 456 121 25 1.39 22.67271848 92
## 457 122 0 13.78 93.67706503 NA
## 458 232 0 17.31 846.91130710 98
## 459 185 0 6.41 1902.69304800 9
## 460 179 4 9.78 180.10951320 98
## 461 218 0 7.13 291.01707650 95
## 462 116 0 12.06 2425.40389100 97
## 463 172 0 9.42 0.00000000 97
## 464 134 2 0.01 0.00000000 96
## 465 126 0 13.15 650.95679810 NA
## 466 181 2 2.52 665.72602530 93
## 467 146 46 7.24 916.27084500 96
## 468 174 10 0.30 35.71613793 93
## 469 179 0 2.02 0.00000000 8
## 470 293 46 4.58 73.92730583 89
## 471 136 10 1.41 81.72747120 79
## 472 175 55 0.18 0.00000000 98
## 473 168 4 5.66 152.82939730 NA
## 474 123 5 0.01 285.61039120 88
## 475 256 15 11.05 162.80880540 97
## 476 443 16 1.66 58.52947463 47
## 477 291 29 0.20 29.74734049 64
## 478 151 0 7.16 1158.06525900 99
## 479 224 0 5.78 9.01349388 7
## 480 146 14 4.45 978.07041000 92
## 481 564 3 5.53 437.08024380 93
## 482 177 16 2.53 0.00000000 NA
## 483 184 0 6.33 701.85263640 99
## 484 312 1 0.17 93.35872844 98
## 485 477 3 4.89 457.72005220 NA
## 486 219 4 2.88 332.10565860 75
## 487 225 1 0.01 281.00239920 99
## 488 121 1 3.89 274.15269860 95
## 489 158 0 8.42 146.43844880 99
## 490 381 27 NA 0.00000000 NA
## 491 366 29 2.57 183.04616950 81
## 492 393 2 5.01 426.78556620 94
## 493 147 0 1.08 4.78380556 84
## 494 154 29 0.01 0.00000000 98
## 495 251 46 0.08 0.00000000 19
## 496 163 9 8.27 0.00000000 71
## 497 296 41 1.50 78.71123825 84
## 498 228 7 0.02 4.11319074 NA
## 499 171 0 1.76 0.00000000 88
## 500 193 11 2.16 457.77458450 88
## 501 217 7 2.90 691.13335350 97
## 502 259 15 5.68 4.10648432 NA
## 503 163 1 9.69 15.23572740 94
## 504 271 64 0.01 73.52358168 62
## 505 126 52 4.86 13.31109532 97
## 506 378 82 9.63 87.04534954 79
## 507 214 6 6.82 235.35660660 95
## 508 266 2 2.87 61.84921903 95
## 509 387 24 5.98 9.66001020 NA
## 510 235 1 4.61 134.16789320 97
## 511 113 28 8.63 0.00000000 93
## 512 165 10 3.21 0.00000000 92
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## 1035 218 58 4.85 198.25637940 77
## 1036 285 13 0.01 4.87735014 87
## 1037 132 2 0.01 54.87891060 98
## 1038 288 21 NA 0.00000000 94
## 1039 276 8 5.99 145.10225280 95
## 1040 238 6 2.86 186.10139720 96
## 1041 283 25 1.12 7.49281752 82
## 1042 178 10 0.32 4.15336291 86
## 1043 388 542 9.55 104.47464440 42
## 1044 125 8 0.01 973.72867500 88
## 1045 348 87 3.98 0.00000000 92
## 1046 417 9 2.45 0.00000000 NA
## 1047 158 9 7.22 0.00000000 78
## 1048 235 1 9.89 0.00000000 92
## 1049 325 2 1.02 94.13302875 NA
## 1050 166 0 11.93 0.00000000 91
## 1051 255 5 NA 0.00000000 95
## 1052 173 0 9.75 77.94543290 97
## 1053 145 0 10.78 0.00000000 99
## 1054 136 29 2.86 0.00000000 94
## 1055 339 3 9.93 1192.69661900 NA
## 1056 299 3 7.58 719.55351610 83
## 1057 122 0 1.74 0.00000000 89
## 1058 142 0 8.27 180.77626950 98
## 1059 338 8 2.58 0.00000000 73
## 1060 126 20 0.46 43.08717334 91
## 1061 391 253 0.88 11.59481766 NA
## 1062 446 99 10.09 44.52614001 64
## 1063 375 61 0.01 54.91159475 79
## 1064 167 10 6.89 0.00000000 6
## 1065 192 0 12.40 1446.52921700 95
## 1066 141 1 7.38 11.85928108 NA
## 1067 285 25 1.13 7.10699735 7
## 1068 297 3 2.47 0.00000000 94
## 1069 124 0 13.39 11.63615139 NA
## 1070 317 3 6.28 59.55033546 NA
## 1071 163 9 3.99 84.17527008 36
## 1072 171 55 0.21 0.00000000 98
## 1073 196 1200 2.77 57.73359864 38
## 1074 128 21 0.56 157.64314450 95
## 1075 184 1 13.29 8.98619805 NA
## 1076 137 30 2.19 0.00000000 78
## 1077 419 9 2.30 0.00000000 NA
## 1078 263 1 0.96 2.58669823 89
## 1079 241 6 2.58 0.35865142 98
## 1080 286 3 2.99 0.00000000 97
## 1081 172 4 2.10 17.81424344 98
## 1082 266 3 0.01 0.00000000 97
## 1083 185 0 7.82 21.46531320 99
## 1084 133 2 0.01 0.00000000 98
## 1085 195 0 0.01 431.48548740 99
## 1086 221 7 2.35 106.18070600 NA
## 1087 128 28 4.09 0.00000000 95
## 1088 282 57 0.10 17.58722718 NA
## 1089 153 3 8.40 412.43239740 99
## 1090 269 3 0.01 0.00000000 98
## 1091 222 0 5.27 10.81391340 96
## 1092 172 22 0.27 112.12290280 92
## 1093 232 1 0.17 27.48907048 93
## 1094 225 58 NA 0.00000000 93
## 1095 252 48 0.07 0.00000000 14
## 1096 251 25 0.33 62.21977893 NA
## 1097 231 5 8.71 324.54913480 66
## 1098 184 0 6.48 387.33249280 98
## 1099 146 6 3.35 0.00000000 93
## 1100 124 0 10.80 196.30262430 NA
## 1101 251 26 0.34 6.06422120 NA
## 1102 215 6 NA 0.00000000 99
## 1103 194 0 0.01 8.19804758 96
## 1104 125 2 10.81 230.04009700 97
## 1105 395 57 5.44 7.56289292 82
## 1106 192 0 12.15 0.00000000 NA
## 1107 118 1 6.89 1694.46707500 8
## 1108 172 88 6.95 15.85781237 97
## 1109 325 71 0.01 90.76144414 78
## 1110 334 50 0.01 0.00000000 NA
## 1111 633 4 2.69 9.18432717 9
## 1112 388 95 3.49 35.93349121 NA
## 1113 158 9 7.92 0.00000000 88
## 1114 121 4 0.59 313.36260150 98
## 1115 153 2 9.00 983.25180910 98
## 1116 149 3 2.87 345.37763440 97
## 1117 183 10 0.38 2.62623490 88
## 1118 223 10 5.18 0.00000000 67
## 1119 124 0 4.45 339.97773640 98
## 1120 234 18 1.99 62.21817261 NA
## 1121 263 51 0.11 5.66540507 71
## 1122 157 1 10.96 384.14730280 94
## 1123 385 25 6.09 10.61917585 NA
## 1124 186 0 6.76 569.95271220 96
## 1125 168 0 3.94 479.92340770 97
## 1126 284 25 1.19 75.91429496 74
## 1127 189 0 17.87 1904.12469000 95
## 1128 192 4 3.61 15.25518816 83
## 1129 337 3 7.28 827.59793350 NA
## 1130 199 32 0.01 43.52408010 62
## 1131 278 25 1.28 7.61543013 75
## 1132 285 10 0.88 23.40731286 66
## 1133 145 0 8.93 216.31469410 99
## 1134 154 6 0.62 8.59680496 5
## 1135 225 0 6.54 86.42744056 43
## 1136 116 20 0.62 188.29028610 98
## 1137 323 232 1.44 0.00000000 NA
## 1138 227 49 0.01 31.50243237 67
## 1139 246 2 0.15 47.30421873 74
## 1140 177 0 4.60 336.32133260 88
## 1141 163 3 3.36 292.75310100 98
## 1142 287 3 2.79 0.00000000 98
## 1143 288 3 2.64 0.00000000 97
## 1144 327 11 0.61 110.98030620 6
## 1145 334 33 0.34 18.93011259 NA
## 1146 111 28 8.48 0.00000000 92
## 1147 169 0 8.80 119.55486940 99
## 1148 161 5 3.23 192.92978290 94
## 1149 199 16 2.24 53.10009046 91
## 1150 275 71 0.01 7.09710870 68
## 1151 296 2 8.87 218.17274730 NA
## 1152 178 59 0.15 0.00000000 98
## 1153 133 11 4.29 516.40370210 93
## 1154 161 3 5.61 26.18072382 92
## 1155 166 10 0.32 51.99192270 96
## 1156 129 28 4.00 0.00000000 59
## 1157 124 34 5.30 1117.19609700 98
## 1158 169 0 15.19 2211.74417800 94
## 1159 174 0 4.08 407.77926200 97
## 1160 259 12 3.41 0.00000000 5
## 1161 222 13 NA 0.00000000 97
## 1162 251 25 0.01 87.40804230 77
## 1163 116 4 0.43 68.86623298 98
## 1164 235 30 0.87 59.97914461 7
## 1165 471 3 5.28 294.65715520 NA
## 1166 337 51 0.01 0.00000000 NA
## 1167 174 0 3.30 208.16884370 86
## 1168 144 14 4.66 780.59467490 93
## 1169 188 7 6.13 340.02399450 66
## 1170 343 7 0.56 6.91399801 91
## 1171 255 2 8.86 154.87588790 79
## 1172 136 0 0.01 36.48024032 NA
## 1173 144 0 9.85 0.00000000 99
## 1174 192 16 5.93 27.63810304 95
## 1175 189 11 1.93 582.14695830 85
## 1176 437 76 1.66 32.73674134 84
## 1177 179 103 7.13 149.48020910 91
## 1178 192 14 2.20 56.88416481 89
## 1179 165 0 6.85 0.00000000 99
## 1180 157 6 6.05 587.88282280 8
## 1181 159 65 7.19 394.93212990 99
## 1182 587 38 1.18 6.84703378 99
## 1183 298 3 2.08 0.00000000 92
## 1184 179 0 6.02 1122.97296700 86
## 1185 226 0 14.09 434.79850250 98
## 1186 441 32 1.23 13.77617463 97
## 1187 124 26 1.26 115.58011030 96
## 1188 138 38 1.47 35.55729000 72
## 1189 163 17 4.45 393.87736330 78
## 1190 176 0 15.14 1807.07133600 93
## 1191 284 8 5.75 12.60883976 95
## 1192 134 0 0.01 495.07829630 NA
## 1193 614 44 2.62 45.61688038 NA
## 1194 178 367 0.03 3.91274452 75
## 1195 167 1 3.76 211.11433180 NA
## 1196 136 28 2.56 0.00000000 93
## 1197 168 2 0.06 36.69198927 79
## 1198 334 3 5.07 197.78395520 NA
## 1199 122 23 0.03 0.00000000 99
## 1200 356 3 5.12 62.11039296 NA
## 1201 132 2 0.01 532.67000050 98
## 1202 123 0 4.75 286.89073030 98
## 1203 285 25 1.15 10.73628066 75
## 1204 336 36 0.17 19.89790929 NA
## 1205 347 76 10.22 94.49686776 82
## 1206 112 19 1.54 20.75120211 97
## 1207 144 2 10.40 9.14555590 98
## 1208 345 26 NA 47.44453000 NA
## 1209 143 0 10.43 0.00000000 99
## 1210 437 15 0.01 53.43964323 47
## 1211 235 7 6.64 808.24330200 99
## 1212 197 0 0.01 401.79310450 99
## 1213 278 55 0.11 3.75171544 NA
## 1214 192 0 5.12 72.03911741 5
## 1215 715 26 4.06 0.00000000 7
## 1216 437 96 4.07 0.00000000 9
## 1217 654 5 2.61 71.15577609 91
## 1218 192 19 0.26 12.80528533 89
## 1219 161 2 0.01 36.11567366 98
## 1220 234 35 0.04 0.00000000 69
## 1221 318 51 0.01 0.00000000 42
## 1222 136 28 3.01 0.00000000 67
## 1223 172 0 2.88 42.12368374 44
## 1224 145 0 10.73 0.00000000 99
## 1225 123 1 3.79 279.42908120 95
## 1226 325 2 1.34 91.95075901 NA
## 1227 452 62 2.65 0.00000000 77
## 1228 115 28 8.33 0.00000000 88
## 1229 137 12 7.68 1349.02528200 NA
## 1230 174 6 5.93 857.13070370 74
## 1231 188 187 0.06 3.43334364 65
## 1232 491 36 1.16 7.91507125 93
## 1233 133 3 0.43 409.98125230 96
## 1234 119 5 0.01 306.18243130 94
## 1235 132 1 7.24 194.17326580 95
## 1236 162 0 3.62 310.61176830 54
## 1237 281 10 0.01 25.70881695 73
## 1238 154 0 0.01 915.18592050 98
## 1239 367 498 8.30 194.20328790 46
## 1240 215 4 3.31 0.00000000 99
## 1241 183 0 6.37 128.08962890 9
## 1242 113 0 6.56 666.73743710 91
## 1243 144 8 3.52 19.13983284 96
## 1244 184 22 2.15 9.29098365 99
## 1245 121 6 3.82 79.11626341 83
## 1246 167 0 10.75 0.00000000 93
## 1247 167 0 16.99 225.07236180 94
## 1248 181 910 NA 0.00000000 87
## 1249 352 46 0.01 0.00000000 NA
## 1250 118 8 7.93 847.37174630 94
## 1251 119 4 0.61 535.27864040 97
## 1252 229 4 2.77 0.00000000 94
## 1253 278 60 1.80 109.70518360 96
## 1254 218 35 0.21 31.93187316 27
## 1255 199 0 13.94 1147.11140000 97
## 1256 272 238 0.01 0.00000000 74
## 1257 162 3 7.68 615.40307810 98
## 1258 222 0 12.30 913.69952900 95
## 1259 336 22 NA 0.00000000 87
## 1260 166 6 3.04 194.43357360 91
## 1261 174 54 0.21 0.00000000 97
## 1262 341 229 1.85 0.00000000 NA
## 1263 153 0 NA 0.00000000 94
## 1264 282 8 6.58 23.43400762 99
## 1265 155 26 0.46 71.11645000 84
## 1266 382 56 5.90 68.70730440 84
## 1267 168 9 8.18 0.00000000 53
## 1268 116 0 3.64 165.61686420 NA
## 1269 432 72 1.43 36.29775249 73
## 1270 277 5 8.86 46.19685449 92
## 1271 225 0 0.01 88.62945822 NA
## 1272 386 536 9.30 105.59106290 41
## 1273 197 6 1.56 15.35342268 62
## 1274 134 9 1.29 94.75639211 81
## 1275 271 13 3.13 0.00000000 NA
## 1276 241 2 0.12 59.65964970 83
## 1277 214 0 2.02 64.39203443 99
## 1278 132 1 9.30 772.87003530 99
## 1279 152 15 4.50 34.70333523 65
## 1280 191 0 0.01 225.73077510 95
## 1281 189 377 0.01 1.76666310 NA
## 1282 341 49 0.01 0.00000000 NA
## 1283 166 9 3.13 0.00000000 92
## 1284 164 0 1.58 0.00000000 81
## 1285 397 15 NA 0.00000000 47
## 1286 263 2 2.43 55.60878216 98
## 1287 147 3 0.01 362.38179510 93
## 1288 233 35 0.06 0.00000000 76
## 1289 291 2 9.02 545.43895730 75
## 1290 271 54 0.61 101.81139960 66
## 1291 127 4 0.54 228.78381080 97
## 1292 218 1 7.32 493.32792930 93
## 1293 167 20 0.26 80.58788376 9
## 1294 286 10 0.79 18.99961966 56
## 1295 382 92 5.04 98.19145117 NA
## 1296 241 50 0.15 32.22493445 75
## 1297 169 0 1.89 0.00000000 83
## 1298 157 4 3.08 286.12114460 97
## 1299 325 2 5.76 668.95628540 95
## 1300 213 0 0.60 111.73921340 5
## 1301 136 0 0.01 492.05522630 64
## 1302 296 1 0.45 20.86878709 25
## 1303 436 2 6.21 512.58879950 93
## 1304 249 31 0.03 75.25799773 59
## 1305 237 2 0.01 78.39008571 89
## 1306 327 32 0.21 1.09966598 NA
## 1307 242 1 8.36 0.00000000 98
## 1308 134 2 0.01 493.41534100 98
## 1309 299 59 0.54 6.66045178 79
## 1310 428 77 1.51 0.68168556 NA
## 1311 215 0 NA 0.00000000 95
## 1312 193 1 12.22 75.36251406 NA
## 1313 513 4 0.01 168.13489920 95
## 1314 162 359 0.01 62.29361092 72
## 1315 157 57 7.33 564.52339020 99
## 1316 177 0 NA 0.00000000 98
## 1317 185 17 0.01 19.16246960 99
## 1318 371 13 4.27 10.42436900 NA
## 1319 115 1 3.92 49.34007756 98
## 1320 314 28 0.01 196.66757680 86
## 1321 519 30 4.21 33.34691455 NA
## 1322 253 37 0.01 97.67794571 98
## 1323 126 10 8.33 1398.04262300 94
## 1324 196 0 4.94 815.43559950 84
## 1325 256 6 4.89 115.73897400 48
## 1326 141 3 2.37 42.73082830 99
## 1327 131 1 9.85 820.81090980 93
## 1328 394 58 5.22 0.96249705 81
## 1329 185 134 0.08 211.87834040 81
## 1330 366 46 0.64 76.52382535 39
## 1331 219 0 0.60 59.97185848 85
## 1332 155 1 10.98 107.98261270 96
## 1333 174 0 6.70 1486.23640600 92
## 1334 295 237 2.09 0.00000000 65
## 1335 155 3 5.39 30.93519548 85
## 1336 188 182 0.06 33.95837125 62
## 1337 116 0 13.24 0.00000000 98
## 1338 119 1 6.76 24.73142261 94
## 1339 261 3 0.48 5.64912342 NA
## 1340 194 29 0.20 52.22906505 82
## 1341 149 0 12.09 0.00000000 96
## 1342 122 8 0.80 0.00000000 83
## 1343 148 2 3.55 473.12381240 98
## 1344 129 3 0.53 101.60924500 97
## 1345 199 0 4.52 72.80016800 84
## 1346 148 0 1.79 503.58819560 89
## 1347 317 62 1.86 7.14685140 88
## 1348 266 2 0.24 69.96754350 68
## 1349 171 0 12.55 0.00000000 84
## 1350 139 0 2.15 558.72064860 58
## 1351 399 25 6.39 10.66670728 95
## 1352 122 0 0.01 2700.07305000 93
## 1353 189 7 6.43 4.67359227 63
## 1354 155 0 1.51 310.82033820 88
## 1355 183 4 2.05 13.39092189 97
## 1356 165 1 3.67 192.32263050 98
## 1357 114 0 13.19 0.00000000 99
## 1358 191 159 0.06 72.01593160 66
## 1359 141 2 0.01 31.80653288 99
## 1360 167 18 4.66 477.13418140 78
## 1361 158 0 1.24 40.49128897 93
## 1362 134 1 0.55 564.54256630 99
## 1363 371 51 6.19 83.18071241 82
## 1364 228 0 6.68 332.27517090 96
## 1365 158 9 4.13 14.58874030 69
## 1366 217 8 0.02 61.76263795 74
## 1367 453 17 1.56 40.45156933 42
## 1368 138 3 NA 0.00000000 99
## 1369 123 1 6.35 152.54484050 96
## 1370 354 217 0.86 1.50696248 NA
## 1371 185 0 2.23 0.00000000 87
## 1372 343 7 0.83 0.70313218 86
## 1373 188 0 6.35 103.37106890 89
## 1374 192 0 1.21 244.39764380 92
## 1375 131 9 0.93 10.21129783 82
## 1376 184 16 0.01 0.44280240 99
## 1377 278 55 0.57 102.14137440 74
## 1378 148 0 3.82 155.20726690 4
## 1379 131 29 3.94 0.00000000 95
## 1380 154 18 4.59 297.51123370 NA
## 1381 228 1 10.98 0.00000000 94
## Measles BMI under.five.deaths Polio Total.expenditure Diphtheria HIV.AIDS
## 1 680 NA 92 9 7.97 9 0.3
## 2 237 17.0 130 96 2.88 96 0.1
## 3 0 48.4 4 97 9.78 97 0.4
## 4 2 19.0 96 76 6.97 74 1.7
## 5 23 28.6 52 88 NA 88 0.7
## 6 0 4.3 1 94 6.45 94 1.9
## 7 1 32.2 4 96 5.56 96 28.4
## 8 101 24.9 60 94 5.17 94 2.1
## 9 0 77.6 0 8 NA 78 0.1
## 10 6755 1.0 39 92 4.70 75 0.2
## 11 927 32.1 15 84 4.48 85 0.3
## 12 3 58.1 0 94 6.63 94 0.1
## 13 12 3.7 0 99 5.29 99 0.2
## 14 0 71.5 0 88 5.13 86 0.1
## 15 6855 24.7 759 49 3.67 49 3.9
## 16 815 4.4 47 67 5.64 73 0.1
## 17 0 57.6 1 99 8.42 99 0.1
## 18 5 56.9 0 96 6.74 96 0.1
## 19 45 57.1 8 5 NA 41 0.1
## 20 1028 34.1 3 89 8.53 89 2.5
## 21 0 5.9 3 99 6.39 98 0.1
## 22 0 49.9 11 95 5.49 95 0.2
## 23 0 61.3 0 97 7.44 99 0.2
## 24 0 48.4 0 93 5.64 93 0.1
## 25 0 41.6 1 95 5.81 93 2.2
## 26 61 18.4 22 71 5.60 71 5.1
## 27 4 6.7 2 89 NA 89 0.1
## 28 0 49.8 19 89 5.37 89 0.1
## 29 632 28.8 4 96 3.95 96 0.1
## 30 5020 21.6 308 78 NA 81 1.1
## 31 21 2.3 1 92 5.17 91 0.5
## 32 426 23.5 39 77 5.37 75 1.4
## 33 1 26.4 7 9 7.13 9 33.8
## 34 0 5.8 23 95 3.82 95 0.1
## 35 2339 59.3 16 98 7.90 97 0.2
## 36 0 45.4 16 84 5.22 84 0.2
## 37 0 57.7 1 95 11.59 94 0.1
## 38 49 26.3 4 87 5.11 84 48.8
## 39 0 67.8 0 91 5.90 9 0.1
## 40 420 27.5 43 69 6.44 68 30.3
## 41 9 2.6 82 88 3.95 88 0.1
## 42 141 21.2 23 47 3.62 47 5.1
## 43 798 13.4 122 41 8.82 41 0.1
## 44 4929 47.2 1 98 8.31 97 0.1
## 45 7360 18.3 89 76 3.00 79 0.1
## 46 0 34.4 1 78 1.57 78 2.1
## 47 16527 14.1 6 99 3.77 99 0.1
## 48 20 64.8 4 98 7.45 98 0.1
## 49 0 41.6 1 97 7.32 98 0.3
## 50 4074 18.7 21 97 3.40 97 0.8
## 51 0 53.7 0 99 7.35 99 0.1
## 52 0 47.5 0 99 NA 99 0.1
## 53 2151 17.3 56 56 3.76 53 3.0
## 54 82 64.8 2 97 NA 97 0.1
## 55 8 22.0 16 66 8.40 6 3.1
## 56 12237 12.1 36 62 5.87 59 2.1
## 57 4 47.9 1 98 8.49 98 0.1
## 58 0 45.0 1 98 5.10 98 0.3
## 59 0 62.0 0 97 7.63 98 0.1
## 60 243 23.3 40 42 NA 54 0.5
## 61 0 35.5 0 98 3.58 98 0.1
## 62 71 26.8 10 9 5.15 9 3.0
## 63 7497 24.3 80 47 NA 42 0.7
## 64 0 19.5 40 84 5.35 84 0.7
## 65 0 44.2 14 79 4.36 73 1.1
## 66 10 3.7 0 99 3.73 99 0.1
## 67 18 19.5 4 46 2.23 37 3.6
## 68 64 52.8 1 88 9.38 94 0.1
## 69 146 21.7 13 62 2.42 62 5.9
## 70 653 13.1 26 69 6.74 69 1.9
## 71 0 44.9 4 85 7.60 89 0.1
## 72 0 47.3 6 84 5.85 81 0.1
## 73 0 61.8 1 95 8.55 95 0.1
## 74 0 71.4 0 54 4.52 26 0.1
## 75 0 73.8 0 62 6.91 67 0.1
## 76 0 58.3 0 89 NA 89 0.4
## 77 3903 17.4 474 71 2.76 68 0.1
## 78 333 18.3 96 85 1.87 85 0.6
## 79 95 22.0 75 83 NA 89 2.8
## 80 23 51.3 1 93 1.19 88 0.1
## 81 56 5.5 1 9 8.99 92 0.1
## 82 37 26.7 4 87 5.16 85 49.9
## 83 704 19.9 879 46 3.66 4 5.3
## 84 116 6.9 33 89 13.73 94 0.1
## 85 830 15.2 93 86 1.97 78 0.5
## 86 172 17.5 103 7 6.28 69 2.0
## 87 375 47.6 10 83 4.11 8 0.1
## 88 85 6.1 33 9 13.70 94 0.1
## 89 4 27.2 4 81 6.47 81 24.0
## 90 0 34.2 3 96 5.55 96 12.7
## 91 31 27.1 42 67 7.13 65 33.6
## 92 1317 16.5 102 68 6.76 67 1.3
## 93 27 55.9 0 95 5.10 95 0.1
## 94 4519 2.9 18 98 3.58 98 0.6
## 95 0 25.4 0 99 5.66 99 0.9
## 96 9 52.9 4 97 5.30 97 0.1
## 97 47 48.1 5 97 5.40 97 0.1
## 98 0 68.6 0 91 4.87 9 0.1
## 99 0 32.9 7 99 NA 96 0.1
## 100 0 29.7 11 98 NA 93 0.1
## 101 7 57.4 0 96 6.80 96 0.1
## 102 0 5.4 1 99 6.27 98 0.1
## 103 60 2.5 4 99 3.28 99 0.1
## 104 9357 14.3 65 6 5.17 6 0.7
## 105 0 57.8 1 72 NA 73 0.1
## 106 154 33.6 9 99 NA 99 0.1
## 107 0 42.8 4 96 6.70 96 0.2
## 108 0 42.8 6 98 7.81 98 0.9
## 109 7003 18.7 89 77 2.79 79 0.1
## 110 3575 17.2 48 46 13.63 44 1.2
## 111 0 55.0 1 92 7.82 9 0.1
## 112 0 24.9 0 97 5.11 96 0.6
## 113 6 21.7 42 63 5.39 62 1.9
## 114 3 17.1 49 77 4.50 77 0.5
## 115 0 42.5 1 99 5.34 99 2.2
## 116 2946 13.3 92 83 5.61 79 2.9
## 117 120 64.0 4 98 7.23 98 0.1
## 118 8491 22.2 817 54 3.47 54 4.8
## 119 0 5.4 8 86 4.34 85 1.6
## 120 0 17.6 47 76 4.70 77 0.5
## 121 1 49.3 9 94 5.66 96 0.1
## 122 222 41.4 4 94 6.18 96 0.2
## 123 0 61.0 10 82 4.94 82 0.1
## 124 1282 17.9 95 88 3.90 88 6.4
## 125 10 25.9 4 87 5.26 84 46.4
## 126 84 22.8 11 71 2.54 72 5.0
## 127 43 52.8 57 98 8.90 99 0.1
## 128 1461 22.5 39 8 4.46 79 1.6
## 129 0 42.0 0 93 4.38 89 0.1
## 130 5844 55.9 43 69 5.34 68 0.1
## 131 66 5.3 52 77 8.80 77 3.7
## 132 383 6.0 1 95 NA 95 0.1
## 133 126 22.3 12 73 2.37 73 5.5
## 134 0 37.9 2 96 NA 95 2.2
## 135 459 18.8 52 83 6.11 81 15.9
## 136 7872 54.4 1 94 7.25 93 0.1
## 137 90 31.4 3 44 2.88 45 10.7
## 138 6 23.8 50 89 NA 89 0.3
## 139 0 52.8 3 94 3.41 94 0.1
## 140 0 42.7 8 96 1.93 96 0.1
## 141 0 6.2 0 94 5.67 94 0.1
## 142 264 2.3 46 6 3.85 57 2.3
## 143 0 4.7 8 99 3.51 99 0.1
## 144 0 34.2 0 99 3.38 99 0.1
## 145 0 54.1 58 98 5.52 97 0.1
## 146 8 19.8 22 72 5.55 82 5.1
## 147 737 37.5 28 99 5.11 99 0.3
## 148 1 43.0 4 97 6.68 97 0.1
## 149 30328 55.2 39 78 4.65 78 0.1
## 150 185 22.5 124 91 5.57 91 2.1
## 151 16 16.2 2 83 1.10 83 0.1
## 152 0 65.8 0 81 13.44 91 0.1
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## GDP Population thinness..1.19.years thinness.5.9.years
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## 1004 1283.885977 4655741.00 3.5 3.4
## 1005 592.183522 2723137.00 16.7 17.2
## 1006 NA NA 1.3 1.4
## 1007 5117.589923 NA 4.3 4.2
## 1008 2884.947760 31596855.00 6.4 6.3
## 1009 3332.918533 818354.00 4.2 3.9
## 1010 22742.381590 868418.00 9.3 9.3
## 1011 4178.973369 19229.00 0.2 0.1
## 1012 487.923891 652952.00 7.3 7.2
## 1013 184.565430 15945279.00 18.1 18.6
## 1014 2613.645177 787386.00 15.4 16.0
## 1015 3225.591754 629877.00 2.1 2.0
## 1016 488.768855 3327773.00 1.7 1.7
## 1017 NA NA 2.5 2.5
## 1018 45.128418 645872.00 8.3 8.2
## 1019 6423.291783 723499.00 2.2 2.2
## 1020 678.796973 1788853.00 6.1 6.1
## 1021 2932.315883 12357.00 0.1 0.1
## 1022 7875.756953 941681.00 2.8 2.8
## 1023 635.789635 49175848.00 3.0 3.1
## 1024 325.382554 83184892.00 11.2 1.9
## 1025 NA NA 13.8 13.7
## 1026 9415.173860 3362755.00 1.5 1.5
## 1027 NA NA 1.6 1.5
## 1028 3167.343560 253142.00 1.5 1.4
## 1029 5941.847100 68416772.00 7.8 7.8
## 1030 6346.156240 214866.00 8.0 7.8
## 1031 NA NA 2.7 2.7
## 1032 766.843762 128921.00 3.9 3.9
## 1033 2643.441423 23785.00 1.5 1.5
## 1034 6574.654338 123963.00 7.5 7.4
## 1035 2129.499242 93726624.00 1.0 9.7
## 1036 62.131849 7228915.00 6.6 6.4
## 1037 1138.566610 NA 5.5 5.4
## 1038 33.681223 119927.00 7.3 7.2
## 1039 1658.311460 14858948.00 2.6 2.6
## 1040 1453.917166 473398.00 3.4 3.4
## 1041 76.535419 8454791.00 8.3 8.2
## 1042 76.914128 739728.00 3.8 3.8
## 1043 1136.829645 14641724.00 12.3 12.3
## 1044 6491.524500 3973354.00 1.1 1.1
## 1045 NA NA 6.9 6.8
## 1046 NA NA 9.1 8.8
## 1047 NA NA 1.6 1.5
## 1048 NA NA 3.6 3.7
## 1049 819.974118 758615.00 6.1 5.9
## 1050 NA NA 4.4 4.4
## 1051 NA NA 8.4 8.2
## 1052 5773.735770 NA 4.0 4.1
## 1053 NA NA 1.5 1.6
## 1054 NA NA 15.4 16.1
## 1055 17136.445680 95114.00 9.0 9.0
## 1056 5191.583810 217317.00 1.4 1.4
## 1057 NA NA 2.5 2.5
## 1058 1473.319230 NA 3.4 3.3
## 1059 NA NA 8.4 8.0
## 1060 495.254866 3486715.00 6.0 5.9
## 1061 123.876257 66537331.00 11.9 11.8
## 1062 315.788227 2854394.00 6.5 6.5
## 1063 623.287114 27212382.00 3.6 3.5
## 1064 NA NA 1.7 1.7
## 1065 11837.391300 3162916.00 2.8 2.9
## 1066 87.136525 7516346.00 2.8 2.9
## 1067 61.799977 7982225.00 8.7 8.6
## 1068 NA NA 9.6 9.6
## 1069 653.716370 444.00 2.0 2.0
## 1070 429.656100 216375.00 11.5 11.4
## 1071 1451.297760 12628596.00 1.6 1.5
## 1072 NA NA 3.1 3.1
## 1073 1345.771530 12398691.00 27.0 27.8
## 1074 2494.353552 31225881.00 6.4 6.3
## 1075 665.644300 115868.00 2.2 2.2
## 1076 NA NA 15.6 16.2
## 1077 NA NA 9.4 9.0
## 1078 197.457880 64282.00 18.0 18.8
## 1079 26.371428 487137.00 3.3 3.3
## 1080 NA NA 8.4 8.3
## 1081 254.489192 19817.00 15.4 15.4
## 1082 NA NA 7.6 7.5
## 1083 1192.517400 82858.00 6.0 6.4
## 1084 NA NA 5.6 5.4
## 1085 4546.738540 873596.00 4.0 3.7
## 1086 774.476339 45648.00 3.6 3.5
## 1087 NA NA 14.3 14.7
## 1088 177.828384 12262.00 12.5 12.5
## 1089 4492.727640 38258629.00 2.5 2.8
## 1090 NA NA 7.8 7.7
## 1091 81.861570 15563.00 7.0 7.0
## 1092 692.116684 27327147.00 16.5 16.9
## 1093 177.234497 714458.00 16.8 17.5
## 1094 2513.884661 3864783.00 NA NA
## 1095 NA NA 14.1 14.1
## 1096 642.766311 16799.00 11.8 11.7
## 1097 2545.483410 46533.00 2.5 2.6
## 1098 4187.378300 29747.00 3.6 3.5
## 1099 NA NA 5.0 5.0
## 1100 1479.296340 19926.00 2.2 2.2
## 1101 481.287397 1134497.00 12.1 12.1
## 1102 6432.668768 5565284.00 3.3 3.3
## 1103 138.949959 182889.00 5.9 5.7
## 1104 13145.148400 3863164.00 2.0 2.1
## 1105 111.711860 18395389.00 6.6 6.6
## 1106 NA NA 2.7 2.6
## 1107 11685.979830 3838462.00 1.9 1.9
## 1108 359.587582 182482149.00 3.3 3.3
## 1109 662.492293 37553726.00 5.7 5.7
## 1110 NA NA 7.5 7.3
## 1111 918.432717 1982287.00 8.4 8.3
## 1112 779.468356 1823369.00 1.4 1.3
## 1113 NA NA 1.7 1.6
## 1114 2537.349000 5934232.00 3.9 3.8
## 1115 8297.483621 2246871.00 3.0 3.2
## 1116 2242.711912 889216.00 2.1 2.1
## 1117 44.287267 7557.00 3.8 3.9
## 1118 NA NA 9.4 9.6
## 1119 3444.556600 496963.00 7.6 7.6
## 1120 474.223877 132721.00 11.5 11.6
## 1121 341.289462 15813913.00 11.0 1.8
## 1122 3381.578370 771686.00 2.3 2.3
## 1123 133.742769 6555829.00 8.8 8.8
## 1124 4344.151770 32168.00 3.5 3.4
## 1125 5116.454240 1228254.00 7.7 7.6
## 1126 625.839200 8216896.00 8.5 8.4
## 1127 16586.452000 13468.00 2.0 2.1
## 1128 116.274300 526796.00 2.2 2.1
## 1129 12732.275900 792217.00 9.7 9.6
## 1130 673.747370 3568.00 5.3 5.1
## 1131 82.151350 8696916.00 8.1 8.0
## 1132 177.867119 7269348.00 1.3 1.3
## 1133 12724.393770 NA 3.4 3.4
## 1134 145.216300 8365.00 3.0 3.0
## 1135 649.342153 148372.00 7.4 7.4
## 1136 2861.554500 31989897.00 6.4 6.2
## 1137 NA NA 11.7 11.5
## 1138 416.148380 18426372.00 1.0 9.9
## 1139 769.174288 689692.00 7.1 6.9
## 1140 3861.324140 1186873.00 8.1 8.1
## 1141 1464.497754 5666581.00 1.9 1.8
## 1142 NA NA 8.6 8.5
## 1143 NA NA 8.8 8.7
## 1144 511.665773 5862316.00 1.5 1.5
## 1145 386.328828 949229.00 9.5 9.5
## 1146 NA NA 0.7 0.6
## 1147 6754.512393 NA 3.9 4.0
## 1148 1437.628785 754146.00 2.4 2.4
## 1149 745.787787 138859.00 11.2 11.4
## 1150 63.537231 2978599.00 18.2 18.2
## 1151 4116.466930 1231122.00 8.0 7.8
## 1152 NA NA 3.3 3.3
## 1153 3611.214700 28292724.00 1.2 1.2
## 1154 189.715390 5882796.00 2.2 2.2
## 1155 834.541295 7815949.00 3.7 3.7
## 1156 NA NA 14.3 14.9
## 1157 9834.472689 119917.00 1.6 1.6
## 1158 16554.971390 2932367.00 2.6 2.7
## 1159 4623.347642 121337.00 7.9 7.8
## 1160 NA NA 1.2 1.3
## 1161 9329.298351 1449687.00 2.3 2.3
## 1162 915.267459 14451.00 7.2 7.1
## 1163 387.324145 7574943.00 3.8 3.9
## 1164 443.961100 22346573.00 7.4 7.3
## 1165 2482.368620 1986535.00 14.2 14.3
## 1166 NA NA 7.4 7.2
## 1167 1631.417270 176582.00 0.2 0.2
## 1168 4674.219610 44374572.00 2.3 2.1
## 1169 2862.154836 8697126.00 3.8 3.6
## 1170 232.794546 3738265.00 9.7 9.7
## 1171 9679.742995 1817271.00 6.2 6.1
## 1172 216.243274 69828.00 2.5 2.5
## 1173 NA NA 1.5 1.6
## 1174 296.546170 6473164.00 9.2 9.5
## 1175 3452.828934 15596214.00 1.2 1.2
## 1176 395.849351 332149.00 8.9 8.9
## 1177 3146.951770 1777567.00 3.4 3.4
## 1178 785.692884 143874.00 11.0 11.3
## 1179 NA NA 3.6 3.5
## 1180 4952.677530 9767758.00 3.4 3.3
## 1181 7313.557962 19126637.00 3.1 3.0
## 1182 297.697121 13429262.00 7.3 7.1
## 1183 NA NA 9.8 9.8
## 1184 9484.568980 54254.00 3.5 3.5
## 1185 5176.172649 956765.00 2.1 2.2
## 1186 512.125451 15627618.00 6.7 6.6
## 1187 979.492460 69597281.00 5.0 4.8
## 1188 366.570000 6514354.00 5.2 5.0
## 1189 2355.725857 41572491.00 2.5 2.3
## 1190 14341.836000 2987773.00 2.7 2.7
## 1191 149.926751 14858335.00 2.6 2.7
## 1192 2789.173500 612267.00 2.4 2.4
## 1193 341.955625 1531221.00 7.5 7.5
## 1194 95.432793 16332974.00 2.8 21.3
## 1195 3596.496282 2695446.00 2.0 1.8
## 1196 NA NA 15.1 15.9
## 1197 643.719110 17811.00 11.7 11.7
## 1198 2283.879390 639762.00 1.6 1.4
## 1199 NA NA 7.7 7.9
## 1200 422.519680 279915.00 12.0 12.0
## 1201 14396.486500 NA 5.5 5.4
## 1202 3312.825985 52384.00 7.4 7.4
## 1203 583.493514 7754.00 8.9 8.8
## 1204 315.839830 8971139.00 1.1 1.1
## 1205 584.396214 3593648.00 5.9 5.9
## 1206 1172.384300 74569867.00 4.9 4.7
## 1207 94.772600 38141267.00 2.3 2.4
## 1208 1186.113250 1117749.00 NA NA
## 1209 NA NA 4.3 4.3
## 1210 377.132274 4515392.00 8.4 8.3
## 1211 7165.277500 169271.00 2.3 2.5
## 1212 4353.121392 86786.00 4.0 3.7
## 1213 25.383731 13618449.00 11.9 11.8
## 1214 749.626612 1277837.00 6.5 7.0
## 1215 453.351155 12633897.00 9.8 9.9
## 1216 NA NA 7.6 7.5
## 1217 915.775754 1965662.00 8.8 8.7
## 1218 152.443873 14546111.00 9.7 9.5
## 1219 562.549434 NA 5.6 5.4
## 1220 NA NA 13.7 13.6
## 1221 47.543235 NA 6.8 6.6
## 1222 NA NA 14.9 15.8
## 1223 335.112838 184826.00 0.2 0.2
## 1224 NA NA 1.5 1.6
## 1225 3843.591213 289359.00 2.1 2.1
## 1226 768.176767 717584.00 6.4 6.1
## 1227 NA NA 7.0 6.9
## 1228 NA NA 0.8 0.6
## 1229 7669.273916 3757452.00 1.2 1.1
## 1230 5968.876767 115495.00 3.3 3.2
## 1231 78.927440 21154429.00 11.0 11.2
## 1232 42.737966 1471462.00 6.9 6.8
## 1233 7269.171140 26625845.00 8.7 8.5
## 1234 7891.299776 953579.00 2.8 2.9
## 1235 2964.477340 3926.00 2.6 2.8
## 1236 2351.338140 178781.00 0.2 0.2
## 1237 229.953640 7592865.00 1.3 1.3
## 1238 9291.227619 1255882.00 7.1 7.0
## 1239 2996.964320 17182933.00 1.4 1.2
## 1240 NA NA 3.5 3.5
## 1241 1458.879600 1321618.00 6.0 6.4
## 1242 7318.742449 6279.00 1.9 2.0
## 1243 335.786541 1396748.00 1.4 1.3
## 1244 83.476942 26868.00 3.1 3.1
## 1245 6432.216537 1593112.00 1.2 1.1
## 1246 NA NA 2.5 2.5
## 1247 1894.548500 13379.00 2.0 2.1
## 1248 1613.188780 1395398.00 26.7 27.3
## 1249 NA NA 7.9 7.7
## 1250 12245.256450 42981515.00 1.0 0.9
## 1251 3385.696650 6489822.00 3.8 3.8
## 1252 NA NA 3.3 3.4
## 1253 987.445397 42486839.00 8.1 7.9
## 1254 287.415600 2539449.00 17.8 18.4
## 1255 8318.429294 9474511.00 1.9 2.0
## 1256 NA NA 9.9 9.6
## 1257 4676.315183 21319685.00 3.3 3.8
## 1258 7863.162900 3322528.00 3.0 3.1
## 1259 118.693830 15777451.00 5.6 5.5
## 1260 1157.342700 733821.00 2.6 2.5
## 1261 NA NA 3.0 3.0
## 1262 NA NA 12.1 11.9
## 1263 13666.583360 1977527.00 2.2 2.1
## 1264 268.123657 149918.00 2.5 2.6
## 1265 1336.775376 29181832.00 6.7 6.5
## 1266 1233.524316 18978.00 6.4 6.5
## 1267 NA NA 1.6 1.5
## 1268 1461.755200 376676.00 3.3 3.2
## 1269 458.884355 3574931.00 8.7 8.6
## 1270 368.689980 465935.00 2.5 2.7
## 1271 4498.957270 1388115.00 2.4 2.5
## 1272 1383.893354 1534739.00 12.0 11.9
## 1273 174.669200 19228.00 15.4 15.5
## 1274 1253.391430 17415266.00 6.6 6.4
## 1275 NA NA 1.4 1.5
## 1276 829.758688 76569.00 7.0 6.8
## 1277 3658.638320 821817.00 4.1 3.8
## 1278 5458.121718 7381579.00 2.4 2.4
## 1279 218.259970 26937738.00 1.3 1.3
## 1280 1821.878734 191266.00 5.6 5.4
## 1281 51.656816 14161437.00 22.0 22.4
## 1282 NA NA 7.6 7.4
## 1283 NA NA 5.5 5.5
## 1284 NA NA 0.2 0.2
## 1285 348.381417 45461.00 8.2 8.2
## 1286 571.518830 2443659.00 2.4 2.5
## 1287 6269.581230 NA 5.6 5.5
## 1288 NA NA 13.7 13.7
## 1289 8352.817110 1489193.00 6.9 6.8
## 1290 835.889980 1554989.00 8.5 8.3
## 1291 1889.213962 5396774.00 3.9 3.9
## 1292 2576.124957 746314.00 5.6 5.4
## 1293 681.792587 27649925.00 16.3 16.7
## 1294 1366.879112 718239.00 1.4 1.3
## 1295 1443.991929 19552542.00 1.0 9.9
## 1296 375.581987 1764636.00 1.5 1.3
## 1297 NA NA 0.2 0.2
## 1298 1815.489496 83521.00 2.3 2.2
## 1299 7645.214690 251339.00 7.7 7.4
## 1300 1214.556667 92325.00 0.2 0.2
## 1301 4234.554443 189194.00 0.2 0.1
## 1302 147.586896 8942.00 5.8 5.7
## 1303 5714.479370 1914414.00 9.2 9.0
## 1304 2351.812429 27697912.00 5.4 5.1
## 1305 788.632653 723868.00 6.9 6.7
## 1306 33.424498 9679745.00 9.3 9.3
## 1307 NA NA 3.1 3.3
## 1308 9344.987518 NA 5.5 5.4
## 1309 391.791281 125128.00 1.3 1.2
## 1310 43.979713 3145483.00 9.2 9.1
## 1311 4136.689919 768514.00 5.5 5.3
## 1312 4623.467120 121971.00 2.3 2.3
## 1313 1281.516000 289928.00 6.4 6.2
## 1314 1316.989660 185546257.00 19.4 19.8
## 1315 8553.384700 194895996.00 3.0 2.9
## 1316 1922.413880 587482.00 1.1 1.2
## 1317 197.551233 32432.00 3.0 3.1
## 1318 177.285187 362863.00 8.8 8.9
## 1319 2741.115420 NA 3.6 3.4
## 1320 1738.882200 1562974.00 6.3 6.2
## 1321 227.779471 4739147.00 1.1 1.2
## 1322 1432.227943 26962563.00 6.4 6.3
## 1323 8161.369660 479947.00 1.0 0.9
## 1324 6858.163158 515148.00 3.5 3.4
## 1325 879.475486 48225.00 2.9 3.0
## 1326 382.549940 2771.00 15.2 15.0
## 1327 5821.353970 73287.00 2.3 2.3
## 1328 12.989164 17899562.00 6.7 6.8
## 1329 3634.276850 24577511.00 1.6 1.5
## 1330 986.131770 13133589.00 8.8 8.7
## 1331 734.949246 85858.00 0.2 0.2
## 1332 7296.122479 7492561.00 2.1 2.1
## 1333 19152.531000 1341588.00 5.9 6.1
## 1334 NA NA 1.8 1.7
## 1335 2599.596259 6127837.00 2.1 2.0
## 1336 747.981745 2145652.00 11.0 11.1
## 1337 NA NA 2.1 2.2
## 1338 962.312164 335824.00 1.6 1.5
## 1339 48.615520 923825.00 12.1 12.1
## 1340 393.884352 26214847.00 17.2 17.8
## 1341 NA NA 4.3 4.4
## 1342 NA 2325443.00 6.4 6.2
## 1343 1975.464770 613997.00 1.8 1.7
## 1344 1779.496410 2917456.00 7.9 7.7
## 1345 527.920000 5437.00 3.5 3.4
## 1346 2892.522663 11689.00 0.1 0.1
## 1347 92.816252 423724.00 8.2 8.1
## 1348 621.933720 611627.00 7.5 7.4
## 1349 NA NA 4.4 4.4
## 1350 3942.982700 187665.00 0.2 0.1
## 1351 111.227396 155456.00 6.2 6.0
## 1352 19941.455320 1314545.00 1.9 1.9
## 1353 38.465780 8832285.00 3.7 3.6
## 1354 1842.444210 99184.00 0.1 0.1
## 1355 216.681584 19968.00 15.3 15.4
## 1356 3719.973510 2728777.00 1.9 1.8
## 1357 NA NA 2.1 2.1
## 1358 1586.254000 22983822.00 1.8 1.8
## 1359 586.836400 NA 5.5 5.4
## 1360 2472.197831 443958.00 2.6 2.3
## 1361 263.272360 9882.00 0.1 0.1
## 1362 8476.615110 NA 7.1 6.9
## 1363 1295.649726 252447.00 6.0 6.0
## 1364 3572.851300 233717.00 2.8 2.8
## 1365 193.741571 12852755.00 1.6 1.5
## 1366 1167.535689 347541.00 9.2 8.9
## 1367 449.961839 44423.00 9.1 9.1
## 1368 3844.891230 2966.00 15.1 15.0
## 1369 522.951116 3325612.00 1.6 1.6
## 1370 135.762386 7462445.00 11.5 11.3
## 1371 NA NA 0.3 0.3
## 1372 21.768798 3614639.00 9.9 9.9
## 1373 1495.963370 133144.00 6.2 6.6
## 1374 1158.282672 51679.00 1.2 1.2
## 1375 148.852738 1786638.00 6.5 6.3
## 1376 25.448414 37577.00 3.0 3.1
## 1377 689.678423 14138216.00 9.2 9.0
## 1378 1373.515636 45216.00 9.2 9.1
## 1379 NA NA 14.4 15.2
## 1380 1996.719689 25914879.00 1.4 1.4
## 1381 NA NA 3.5 3.6
## Income.composition.of.resources Schooling
## 1 0.461 7.0
## 2 0.565 10.0
## 3 0.614 11.6
## 4 0.363 6.4
## 5 0.575 11.4
## 6 0.620 11.2
## 7 0.580 11.8
## 8 0.542 10.4
## 9 0.586 11.9
## 10 0.584 10.7
## 11 0.543 9.8
## 12 0.819 16.3
## 13 0.740 14.0
## 14 0.698 14.5
## 15 0.521 10.0
## 16 0.500 9.0
## 17 0.784 14.9
## 18 0.730 13.0
## 19 0.553 9.0
## 20 0.625 11.6
## 21 0.620 11.5
## 22 0.649 13.8
## 23 0.788 12.6
## 24 0.771 15.0
## 25 0.682 11.4
## 26 0.432 10.0
## 27 0.798 14.7
## 28 0.658 11.3
## 29 0.724 12.1
## 30 NA NA
## 31 0.000 11.4
## 32 0.454 9.8
## 33 0.440 10.5
## 34 0.690 12.3
## 35 0.799 14.6
## 36 0.620 14.6
## 37 0.750 15.5
## 38 0.506 9.3
## 39 0.683 13.7
## 40 0.406 9.3
## 41 0.646 11.5
## 42 0.366 7.1
## 43 0.373 6.5
## 44 NA NA
## 45 0.622 11.4
## 46 0.467 6.3
## 47 0.677 12.4
## 48 0.737 13.1
## 49 0.618 10.5
## 50 0.640 10.9
## 51 0.793 14.3
## 52 0.735 13.1
## 53 0.329 5.5
## 54 0.719 13.4
## 55 0.372 10.1
## 56 0.401 7.2
## 57 NA NA
## 58 0.633 10.3
## 59 0.788 12.6
## 60 0.414 8.8
## 61 0.762 13.5
## 62 0.581 11.1
## 63 NA NA
## 64 0.415 6.4
## 65 0.477 9.2
## 66 0.728 13.1
## 67 0.554 8.4
## 68 0.742 13.3
## 69 0.496 9.4
## 70 0.445 9.3
## 71 0.654 11.9
## 72 0.728 11.6
## 73 0.780 15.5
## 74 0.688 12.9
## 75 0.700 12.9
## 76 0.723 12.7
## 77 0.457 5.5
## 78 0.493 8.2
## 79 0.550 11.1
## 80 0.734 12.8
## 81 0.735 13.1
## 82 0.502 9.2
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## 881 0.802 15.2
## 882 0.734 15.3
## 883 0.613 10.8
## 884 0.649 12.0
## 885 0.583 9.2
## 886 NA NA
## 887 0.677 12.9
## 888 0.681 12.5
## 889 0.497 9.4
## 890 0.290 5.9
## 891 0.640 12.3
## 892 0.000 11.0
## 893 0.283 4.3
## 894 NA NA
## 895 0.586 9.2
## 896 0.674 11.9
## 897 0.474 8.7
## 898 0.715 13.0
## 899 0.809 15.3
## 900 NA NA
## 901 0.498 11.1
## 902 0.375 8.5
## 903 0.612 12.4
## 904 0.760 12.4
## 905 0.638 12.8
## 906 0.572 10.6
## 907 0.682 13.0
## 908 0.387 9.7
## 909 0.474 5.6
## 910 0.000 14.9
## 911 0.586 11.4
## 912 0.484 12.0
## 913 0.405 5.3
## 914 0.501 9.6
## 915 0.714 12.5
## 916 0.000 3.9
## 917 0.650 11.7
## 918 0.455 7.2
## 919 0.689 13.2
## 920 0.698 13.8
## 921 0.748 12.7
## 922 0.422 8.4
## 923 0.609 10.5
## 924 0.450 8.2
## 925 0.723 13.5
## 926 NA NA
## 927 0.715 13.2
## 928 0.533 11.8
## 929 0.620 12.5
## 930 0.741 13.1
## 931 0.563 8.7
## 932 0.661 13.8
## 933 0.441 8.4
## 934 0.757 14.4
## 935 0.616 12.9
## 936 0.000 11.3
## 937 0.494 8.3
## 938 0.599 11.5
## 939 0.673 13.4
## 940 0.731 12.7
## 941 0.725 11.9
## 942 0.707 14.4
## 943 NA NA
## 944 0.596 10.8
## 945 0.457 8.5
## 946 0.733 14.8
## 947 0.444 6.3
## 948 0.768 13.9
## 949 0.386 10.5
## 950 0.000 15.4
## 951 0.526 9.4
## 952 0.616 10.6
## 953 0.318 6.7
## 954 0.711 13.1
## 955 0.714 12.0
## 956 0.670 13.2
## 957 0.814 16.2
## 958 0.673 12.4
## 959 0.736 15.8
## 960 0.446 10.4
## 961 0.303 5.5
## 962 0.673 12.8
## 963 0.723 12.2
## 964 0.681 12.8
## 965 0.732 14.4
## 966 0.747 12.5
## 967 0.778 13.8
## 968 NA NA
## 969 NA NA
## 970 0.789 12.6
## 971 0.560 11.8
## 972 0.396 7.9
## 973 0.646 10.4
## 974 NA NA
## 975 0.720 14.7
## 976 0.687 12.3
## 977 0.360 8.2
## 978 0.510 8.7
## 979 0.548 10.5
## 980 0.451 6.7
## 981 0.592 11.0
## 982 0.401 8.1
## 983 0.674 13.2
## 984 0.700 12.7
## 985 0.597 12.0
## 986 0.000 0.0
## 987 0.563 10.5
## 988 0.547 10.5
## 989 0.430 8.2
## 990 0.535 9.6
## 991 0.000 10.6
## 992 0.715 11.8
## 993 0.421 9.2
## 994 0.416 9.1
## 995 NA NA
## 996 NA NA
## 997 0.447 8.4
## 998 0.434 8.9
## 999 0.754 13.1
## 1000 0.416 5.0
## 1001 0.408 6.2
## 1002 NA NA
## 1003 0.666 11.6
## 1004 0.000 10.3
## 1005 0.515 11.1
## 1006 0.820 14.9
## 1007 0.000 14.1
## 1008 0.589 10.3
## 1009 0.691 13.4
## 1010 0.592 9.1
## 1011 0.701 12.9
## 1012 0.449 11.0
## 1013 0.570 10.0
## 1014 0.604 12.5
## 1015 0.664 12.4
## 1016 0.746 14.7
## 1017 0.791 12.6
## 1018 0.384 8.7
## 1019 0.757 13.5
## 1020 0.475 10.5
## 1021 0.698 14.5
## 1022 0.745 11.9
## 1023 0.669 13.3
## 1024 0.378 7.6
## 1025 0.480 8.5
## 1026 0.774 15.5
## 1027 0.769 14.3
## 1028 0.591 10.8
## 1029 0.737 13.6
## 1030 0.669 12.3
## 1031 0.000 11.9
## 1032 0.477 8.9
## 1033 0.589 10.7
## 1034 0.720 13.5
## 1035 0.662 11.4
## 1036 0.475 12.0
## 1037 0.756 15.1
## 1038 0.406 10.6
## 1039 0.700 12.7
## 1040 0.000 10.3
## 1041 0.438 8.9
## 1042 0.592 10.8
## 1043 0.477 9.1
## 1044 0.735 13.4
## 1045 NA NA
## 1046 0.492 9.4
## 1047 0.754 14.0
## 1048 NA NA
## 1049 0.378 3.5
## 1050 0.686 12.3
## 1051 0.418 5.0
## 1052 0.000 14.6
## 1053 0.763 13.3
## 1054 0.601 11.0
## 1055 0.589 9.2
## 1056 0.604 11.4
## 1057 0.703 12.1
## 1058 0.786 14.4
## 1059 0.527 10.0
## 1060 0.697 12.6
## 1061 0.000 3.9
## 1062 0.429 10.9
## 1063 0.409 9.1
## 1064 0.684 11.0
## 1065 0.825 16.6
## 1066 0.702 13.0
## 1067 0.430 8.5
## 1068 0.395 7.3
## 1069 0.759 12.6
## 1070 0.589 11.3
## 1071 0.668 12.4
## 1072 0.644 11.7
## 1073 0.569 10.4
## 1074 0.581 10.0
## 1075 0.775 14.6
## 1076 0.592 10.9
## 1077 0.487 9.7
## 1078 0.000 8.8
## 1079 0.000 10.4
## 1080 0.434 8.9
## 1081 0.731 13.3
## 1082 0.445 8.9
## 1083 0.712 12.1
## 1084 0.706 13.7
## 1085 0.714 14.9
## 1086 0.000 10.2
## 1087 0.675 12.5
## 1088 0.261 2.9
## 1089 0.777 14.6
## 1090 0.440 8.8
## 1091 0.514 10.0
## 1092 0.529 12.0
## 1093 0.000 10.9
## 1094 0.488 7.2
## 1095 0.436 7.7
## 1096 0.401 5.9
## 1097 0.734 14.9
## 1098 0.692 12.3
## 1099 NA NA
## 1100 0.824 14.7
## 1101 0.381 5.4
## 1102 0.688 10.8
## 1103 0.553 10.8
## 1104 0.834 15.3
## 1105 0.456 8.0
## 1106 0.000 12.0
## 1107 0.773 12.9
## 1108 0.699 14.8
## 1109 0.478 10.0
## 1110 NA NA
## 1111 0.440 10.6
## 1112 0.406 5.9
## 1113 0.700 11.8
## 1114 0.733 13.7
## 1115 0.797 15.8
## 1116 0.618 11.4
## 1117 0.579 10.7
## 1118 0.525 9.4
## 1119 0.621 12.4
## 1120 0.470 10.0
## 1121 0.307 4.2
## 1122 0.738 13.3
## 1123 0.268 4.5
## 1124 0.700 12.4
## 1125 0.704 13.0
## 1126 0.434 8.7
## 1127 0.829 16.1
## 1128 0.562 10.1
## 1129 0.569 9.0
## 1130 0.658 10.1
## 1131 0.444 9.1
## 1132 0.494 9.9
## 1133 0.773 14.7
## 1134 0.668 11.0
## 1135 0.504 9.7
## 1136 0.596 10.5
## 1137 NA NA
## 1138 0.341 5.3
## 1139 0.476 10.5
## 1140 0.667 12.1
## 1141 0.613 11.3
## 1142 0.426 8.6
## 1143 0.420 8.4
## 1144 0.428 6.9
## 1145 0.325 5.1
## 1146 NA NA
## 1147 0.000 14.9
## 1148 0.583 10.8
## 1149 0.511 10.5
## 1150 0.454 9.5
## 1151 0.637 12.2
## 1152 0.621 11.3
## 1153 0.696 13.2
## 1154 0.648 12.1
## 1155 0.608 11.1
## 1156 0.668 12.3
## 1157 0.745 12.6
## 1158 0.841 16.5
## 1159 0.687 12.6
## 1160 0.477 8.3
## 1161 0.805 15.0
## 1162 0.466 10.3
## 1163 0.737 13.1
## 1164 0.506 10.2
## 1165 0.554 11.7
## 1166 NA NA
## 1167 0.653 12.1
## 1168 0.675 11.9
## 1169 0.656 12.3
## 1170 0.000 4.7
## 1171 0.678 12.5
## 1172 0.000 0.0
## 1173 0.771 13.6
## 1174 0.657 11.5
## 1175 0.611 10.7
## 1176 0.451 8.5
## 1177 0.685 14.3
## 1178 0.519 10.6
## 1179 0.709 13.3
## 1180 0.695 12.9
## 1181 0.700 13.5
## 1182 0.377 9.6
## 1183 0.392 7.0
## 1184 0.719 12.7
## 1185 0.771 15.4
## 1186 0.444 10.6
## 1187 0.697 12.3
## 1188 0.658 11.5
## 1189 0.656 11.5
## 1190 0.830 16.5
## 1191 0.685 12.3
## 1192 0.000 0.0
## 1193 0.418 9.6
## 1194 0.505 6.7
## 1195 0.690 11.7
## 1196 0.618 11.3
## 1197 0.566 11.7
## 1198 0.527 8.0
## 1199 0.728 12.8
## 1200 0.578 11.3
## 1201 0.757 14.8
## 1202 0.627 12.7
## 1203 0.423 8.1
## 1204 0.322 5.1
## 1205 0.477 10.7
## 1206 0.750 14.3
## 1207 0.803 15.0
## 1208 0.417 4.9
## 1209 0.733 12.9
## 1210 0.345 7.1
## 1211 0.758 14.6
## 1212 0.709 14.7
## 1213 0.278 3.5
## 1214 0.721 11.9
## 1215 0.418 9.5
## 1216 NA NA
## 1217 0.437 10.7
## 1218 0.483 9.1
## 1219 0.756 14.0
## 1220 0.493 8.6
## 1221 NA NA
## 1222 0.625 11.4
## 1223 0.691 12.9
## 1224 0.763 13.3
## 1225 0.736 12.7
## 1226 0.361 2.9
## 1227 NA NA
## 1228 NA NA
## 1229 0.764 15.0
## 1230 0.706 13.1
## 1231 0.597 10.7
## 1232 0.415 9.9
## 1233 0.736 12.3
## 1234 0.752 12.2
## 1235 0.738 13.3
## 1236 0.665 12.4
## 1237 0.506 10.0
## 1238 0.756 14.3
## 1239 0.514 9.8
## 1240 0.601 12.1
## 1241 0.773 12.5
## 1242 0.792 15.1
## 1243 0.693 12.8
## 1244 0.631 11.8
## 1245 0.737 14.0
## 1246 0.790 12.5
## 1247 0.835 16.1
## 1248 0.615 11.6
## 1249 NA NA
## 1250 0.825 17.3
## 1251 0.739 13.6
## 1252 0.618 12.6
## 1253 0.530 11.1
## 1254 0.463 9.3
## 1255 0.796 15.7
## 1256 NA NA
## 1257 0.745 13.4
## 1258 0.798 16.2
## 1259 0.507 10.3
## 1260 0.566 10.3
## 1261 0.659 12.0
## 1262 NA NA
## 1263 0.828 16.0
## 1264 0.714 13.1
## 1265 0.530 8.5
## 1266 0.466 8.8
## 1267 0.745 13.4
## 1268 0.000 0.0
## 1269 0.461 8.9
## 1270 0.723 14.8
## 1271 0.781 15.0
## 1272 0.481 9.2
## 1273 0.705 12.8
## 1274 0.599 10.3
## 1275 0.463 8.0
## 1276 0.479 10.6
## 1277 0.699 13.9
## 1278 0.743 13.5
## 1279 0.686 13.3
## 1280 0.562 11.1
## 1281 0.450 5.4
## 1282 NA NA
## 1283 NA NA
## 1284 0.639 11.7
## 1285 0.347 7.1
## 1286 0.599 10.1
## 1287 0.732 15.7
## 1288 0.488 8.5
## 1289 0.645 12.4
## 1290 0.404 7.5
## 1291 0.717 13.2
## 1292 0.618 10.7
## 1293 0.538 12.3
## 1294 0.485 9.6
## 1295 0.426 6.8
## 1296 0.323 4.8
## 1297 0.638 11.7
## 1298 0.603 11.3
## 1299 0.678 12.4
## 1300 0.000 12.2
## 1301 0.698 12.9
## 1302 0.416 4.5
## 1303 0.630 12.1
## 1304 0.631 10.2
## 1305 0.484 10.8
## 1306 0.346 6.6
## 1307 NA NA
## 1308 0.752 15.4
## 1309 0.318 5.2
## 1310 0.448 8.4
## 1311 0.638 10.3
## 1312 0.761 13.9
## 1313 0.479 11.0
## 1314 0.542 7.8
## 1315 0.714 13.8
## 1316 0.514 9.6
## 1317 0.681 12.0
## 1318 0.376 10.4
## 1319 0.679 12.1
## 1320 0.570 12.5
## 1321 0.302 7.0
## 1322 0.576 11.7
## 1323 0.794 16.5
## 1324 0.691 11.9
## 1325 0.683 13.9
## 1326 0.760 14.0
## 1327 0.754 13.6
## 1328 0.456 8.2
## 1329 0.662 12.3
## 1330 0.387 7.3
## 1331 0.000 10.4
## 1332 0.761 13.8
## 1333 0.772 12.6
## 1334 NA NA
## 1335 0.663 12.1
## 1336 0.604 10.6
## 1337 NA NA
## 1338 0.770 15.7
## 1339 0.475 9.8
## 1340 0.486 10.0
## 1341 0.710 12.6
## 1342 0.651 11.6
## 1343 0.636 11.6
## 1344 0.776 12.9
## 1345 0.678 11.5
## 1346 0.695 14.6
## 1347 0.514 10.7
## 1348 0.434 9.7
## 1349 0.684 12.4
## 1350 0.693 12.9
## 1351 0.488 10.4
## 1352 0.860 16.5
## 1353 0.660 12.3
## 1354 0.679 13.5
## 1355 0.735 13.4
## 1356 0.689 11.1
## 1357 NA NA
## 1358 0.632 10.9
## 1359 0.747 15.9
## 1360 0.650 11.3
## 1361 0.676 13.7
## 1362 0.705 10.7
## 1363 0.486 10.0
## 1364 0.728 14.2
## 1365 0.670 12.4
## 1366 0.475 7.2
## 1367 0.345 6.4
## 1368 0.764 14.0
## 1369 0.753 15.5
## 1370 0.310 5.4
## 1371 0.000 0.0
## 1372 0.000 4.4
## 1373 0.751 12.3
## 1374 0.494 9.3
## 1375 0.610 10.6
## 1376 0.690 12.1
## 1377 0.360 5.8
## 1378 0.569 11.3
## 1379 0.655 12.0
## 1380 0.674 13.5
## 1381 NA NACounties frequently appear in both groups above. For example, Afghanistan has a 3 listed for Adult.Mortality in one year, and all the others years fall between 260 and 320. Similar situations occur with many other counties such as Armenia, South Sudan, and Spain. It seems clear the cause is a reporting error, in which countries incorrectly reported their statistic as per 100 population or per 10 population. It should be reported as per 1000 population.
Now, let’s examine similar situations from above. First, infant.deaths:
train %>% filter(infant.deaths < 500)## Country Year Status
## 1 Sudan 2010 Developing
## 2 Sweden 2010 Developed
## 3 Sao Tome and Principe 2006 Developing
## 4 Central African Republic 2002 Developing
## 5 Bangladesh 2013 Developing
## 6 Netherlands 2003 Developed
## 7 Honduras 2012 Developing
## 8 Ireland 2013 Developed
## 9 Israel 2014 Developing
## 10 Greece 2004 Developing
## 11 Cuba 2008 Developing
## 12 Trinidad and Tobago 2015 Developing
## 13 Mali 2007 Developing
## 14 United Arab Emirates 2005 Developing
## 15 Ghana 2015 Developing
## 16 Guyana 2007 Developing
## 17 Gabon 2009 Developing
## 18 Botswana 2004 Developing
## 19 Ghana 2009 Developing
## 20 Peru 2010 Developing
## 21 Kiribati 2015 Developing
## 22 Viet Nam 2002 Developing
## 23 Qatar 2013 Developing
## 24 Tajikistan 2002 Developing
## 25 Latvia 2008 Developed
## 26 Mauritius 2010 Developing
## 27 Myanmar 2006 Developing
## 28 Barbados 2013 Developing
## 29 Maldives 2004 Developing
## 30 Tonga 2008 Developing
## 31 Chile 2005 Developing
## 32 Nigeria 2014 Developing
## 33 Brunei Darussalam 2011 Developing
## 34 Yemen 2014 Developing
## 35 Hungary 2003 Developed
## 36 The former Yugoslav republic of Macedonia 2009 Developing
## 37 Syrian Arab Republic 2015 Developing
## 38 Namibia 2013 Developing
## 39 Fiji 2009 Developing
## 40 Nicaragua 2011 Developing
## 41 Grenada 2011 Developing
## 42 Bolivia (Plurinational State of) 2011 Developing
## 43 Iraq 2002 Developing
## 44 Bahamas 2010 Developing
## 45 Barbados 2007 Developing
## 46 Jamaica 2000 Developing
## 47 Togo 2004 Developing
## 48 Romania 2015 Developed
## 49 Colombia 2004 Developing
## 50 Malaysia 2003 Developing
## 51 Austria 2003 Developed
## 52 Democratic Republic of the Congo 2015 Developing
## 53 Azerbaijan 2007 Developing
## 54 Bhutan 2010 Developing
## 55 Benin 2011 Developing
## 56 Lesotho 2003 Developing
## 57 Algeria 2007 Developing
## 58 Suriname 2010 Developing
## 59 Russian Federation 2013 Developing
## 60 Bolivia (Plurinational State of) 2004 Developing
## 61 Thailand 2009 Developing
## 62 Uruguay 2004 Developing
## 63 United States of America 2015 Developed
## 64 Swaziland 2001 Developing
## 65 Tonga 2003 Developing
## 66 Iceland 2003 Developed
## 67 Denmark 2001 Developed
## 68 Brunei Darussalam 2010 Developing
## 69 Zimbabwe 2005 Developing
## 70 Philippines 2006 Developing
## 71 Qatar 2005 Developing
## 72 Central African Republic 2012 Developing
## 73 Afghanistan 2003 Developing
## 74 Republic of Moldova 2002 Developing
## 75 Philippines 2001 Developing
## 76 Norway 2007 Developed
## 77 Djibouti 2014 Developing
## 78 Sri Lanka 2000 Developing
## 79 Jordan 2014 Developing
## 80 Guyana 2009 Developing
## 81 Germany 2004 Developed
## 82 Thailand 2000 Developing
## 83 Slovakia 2006 Developed
## 84 Latvia 2010 Developed
## 85 Cuba 2002 Developing
## 86 Saint Lucia 2015 Developing
## 87 Haiti 2004 Developing
## 88 Guinea 2002 Developing
## 89 Libya 2015 Developing
## 90 Oman 2008 Developing
## 91 Liberia 2005 Developing
## 92 Cambodia 2000 Developing
## 93 Republic of Moldova 2004 Developing
## 94 Norway 2012 Developed
## 95 Nicaragua 2006 Developing
## 96 Guyana 2013 Developing
## 97 Bahamas 2011 Developing
## 98 Guinea 2015 Developing
## 99 Kiribati 2008 Developing
## 100 Seychelles 2013 Developing
## 101 Congo 2014 Developing
## 102 Somalia 2015 Developing
## 103 United Kingdom of Great Britain and Northern Ireland 2004 Developed
## 104 Australia 2001 Developed
## 105 Senegal 2005 Developing
## 106 Cyprus 2003 Developed
## 107 Papua New Guinea 2009 Developing
## 108 France 2015 Developing
## 109 Seychelles 2006 Developing
## 110 Equatorial Guinea 2003 Developing
## 111 Georgia 2011 Developing
## 112 Congo 2005 Developing
## 113 Oman 2015 Developing
## 114 Cambodia 2003 Developing
## 115 Paraguay 2008 Developing
## 116 Azerbaijan 2009 Developing
## 117 Tuvalu 2013 Developing
## 118 Malta 2012 Developed
## 119 Uruguay 2011 Developing
## 120 Samoa 2008 Developing
## 121 Samoa 2013 Developing
## 122 Suriname 2015 Developing
## 123 Greece 2013 Developing
## 124 Bosnia and Herzegovina 2010 Developing
## 125 Pakistan 2002 Developing
## 126 Ireland 2004 Developed
## 127 Myanmar 2008 Developing
## 128 Kenya 2015 Developing
## 129 Georgia 2009 Developing
## 130 Qatar 2000 Developing
## 131 Georgia 2008 Developing
## 132 Austria 2007 Developed
## 133 Swaziland 2002 Developing
## 134 Morocco 2002 Developing
## 135 Malawi 2002 Developing
## 136 Colombia 2003 Developing
## 137 United States of America 2001 Developed
## 138 Saudi Arabia 2005 Developing
## 139 Myanmar 2003 Developing
## 140 Cyprus 2009 Developed
## 141 Mali 2004 Developing
## 142 Syrian Arab Republic 2005 Developing
## 143 United States of America 2000 Developed
## 144 Namibia 2004 Developing
## 145 Botswana 2008 Developing
## 146 Sweden 2014 Developed
## 147 Zimbabwe 2004 Developing
## 148 Niger 2008 Developing
## 149 Estonia 2006 Developing
## 150 Thailand 2003 Developing
## 151 Sao Tome and Principe 2008 Developing
## 152 Chile 2006 Developing
## 153 Romania 2003 Developed
## 154 Luxembourg 2007 Developed
## 155 Tunisia 2000 Developing
## 156 Japan 2004 Developed
## 157 Tonga 2004 Developing
## 158 Democratic People's Republic of Korea 2015 Developing
## 159 Tunisia 2014 Developing
## 160 United Arab Emirates 2004 Developing
## 161 Democratic People's Republic of Korea 2009 Developing
## 162 Latvia 2006 Developed
## 163 Cuba 2001 Developing
## 164 Israel 2008 Developing
## 165 Nepal 2001 Developing
## 166 Sri Lanka 2011 Developing
## 167 Central African Republic 2000 Developing
## 168 Spain 2012 Developed
## 169 Madagascar 2001 Developing
## 170 Republic of Korea 2015 Developing
## 171 Panama 2015 Developing
## 172 Thailand 2015 Developing
## 173 Cambodia 2007 Developing
## 174 Saudi Arabia 2001 Developing
## 175 Paraguay 2005 Developing
## 176 Honduras 2005 Developing
## 177 Philippines 2002 Developing
## 178 Sierra Leone 2000 Developing
## 179 Uruguay 2000 Developing
## 180 Saudi Arabia 2015 Developing
## 181 Cabo Verde 2006 Developing
## 182 El Salvador 2003 Developing
## 183 Guinea 2012 Developing
## 184 Finland 2011 Developing
## 185 Madagascar 2008 Developing
## 186 Seychelles 2014 Developing
## 187 Jamaica 2001 Developing
## 188 Bahrain 2007 Developing
## 189 Burkina Faso 2003 Developing
## 190 Costa Rica 2014 Developing
## 191 United Kingdom of Great Britain and Northern Ireland 2012 Developed
## 192 Jordan 2013 Developing
## 193 Senegal 2012 Developing
## 194 Dominican Republic 2007 Developing
## 195 Madagascar 2009 Developing
## 196 China 2012 Developing
## 197 Ecuador 2008 Developing
## 198 Kyrgyzstan 2011 Developing
## 199 Venezuela (Bolivarian Republic of) 2013 Developing
## 200 Kenya 2008 Developing
## 201 Azerbaijan 2000 Developing
## 202 Sweden 2005 Developed
## 203 Swaziland 2000 Developing
## 204 Congo 2007 Developing
## 205 Brazil 2011 Developing
## 206 Benin 2009 Developing
## 207 Belize 2002 Developing
## 208 Turkey 2003 Developing
## 209 South Africa 2014 Developing
## 210 Serbia 2015 Developing
## 211 Congo 2006 Developing
## 212 Botswana 2015 Developing
## 213 Zambia 2006 Developing
## 214 Chad 2005 Developing
## 215 Georgia 2013 Developing
## 216 Gabon 2006 Developing
## 217 Myanmar 2015 Developing
## 218 Mexico 2009 Developing
## 219 Libya 2000 Developing
## 220 Turkmenistan 2008 Developing
## 221 Latvia 2013 Developed
## 222 Guinea 2009 Developing
## 223 Turkmenistan 2005 Developing
## 224 Samoa 2005 Developing
## 225 Seychelles 2011 Developing
## 226 Mexico 2002 Developing
## 227 Togo 2007 Developing
## 228 Uzbekistan 2005 Developing
## 229 Kyrgyzstan 2013 Developing
## 230 Australia 2011 Developed
## 231 Croatia 2009 Developed
## 232 Guinea 2011 Developing
## 233 Iraq 2009 Developing
## 234 United Republic of Tanzania 2013 Developing
## 235 Timor-Leste 2012 Developing
## 236 Micronesia (Federated States of) 2009 Developing
## 237 Zimbabwe 2000 Developing
## 238 Estonia 2009 Developing
## 239 Djibouti 2012 Developing
## 240 Panama 2010 Developing
## 241 Georgia 2006 Developing
## 242 Swaziland 2010 Developing
## 243 Democratic People's Republic of Korea 2010 Developing
## 244 Liberia 2014 Developing
## 245 Iran (Islamic Republic of) 2000 Developing
## 246 Botswana 2003 Developing
## 247 Kyrgyzstan 2001 Developing
## 248 United Republic of Tanzania 2007 Developing
## 249 Bulgaria 2014 Developed
## 250 Hungary 2005 Developed
## 251 Qatar 2015 Developing
## 252 Papua New Guinea 2004 Developing
## 253 Honduras 2000 Developing
## 254 Samoa 2003 Developing
## 255 Mongolia 2005 Developing
## 256 Maldives 2006 Developing
## 257 Kuwait 2009 Developing
## 258 Sao Tome and Principe 2015 Developing
## 259 Lebanon 2005 Developing
## 260 Democratic People's Republic of Korea 2011 Developing
## 261 Ireland 2008 Developed
## 262 Sudan 2003 Developing
## 263 Tajikistan 2013 Developing
## 264 Republic of Moldova 2007 Developing
## 265 Romania 2007 Developed
## 266 Vanuatu 2008 Developing
## 267 The former Yugoslav republic of Macedonia 2005 Developing
## 268 Switzerland 2014 Developed
## 269 Vanuatu 2002 Developing
## 270 Kazakhstan 2015 Developing
## 271 Switzerland 2010 Developed
## 272 Ecuador 2011 Developing
## 273 Turkey 2013 Developing
## 274 Yemen 2006 Developing
## 275 Jordan 2005 Developing
## 276 Egypt 2011 Developing
## 277 Iraq 2004 Developing
## 278 Jamaica 2003 Developing
## 279 Morocco 2006 Developing
## 280 Bhutan 2012 Developing
## 281 Iraq 2000 Developing
## 282 Nepal 2015 Developing
## 283 Micronesia (Federated States of) 2007 Developing
## 284 Bhutan 2007 Developing
## 285 Eritrea 2006 Developing
## 286 Comoros 2003 Developing
## 287 Netherlands 2010 Developed
## 288 Ireland 2005 Developed
## 289 Turkey 2015 Developing
## 290 Uzbekistan 2015 Developing
## 291 Grenada 2001 Developing
## 292 Argentina 2013 Developing
## 293 Eritrea 2000 Developing
## 294 Singapore 2004 Developed
## 295 Ghana 2003 Developing
## 296 Antigua and Barbuda 2004 Developing
## 297 Guyana 2004 Developing
## 298 South Sudan 2003 Developing
## 299 Solomon Islands 2006 Developing
## 300 Rwanda 2004 Developing
## 301 Tunisia 2002 Developing
## 302 Kiribati 2012 Developing
## 303 Cyprus 2007 Developed
## 304 Vanuatu 2003 Developing
## 305 United Arab Emirates 2009 Developing
## 306 Sri Lanka 2012 Developing
## 307 Georgia 2005 Developing
## 308 Panama 2014 Developing
## 309 Spain 2001 Developed
## 310 Montenegro 2010 Developing
## 311 Lebanon 2003 Developing
## 312 Kazakhstan 2000 Developing
## 313 Belgium 2013 Developed
## 314 Rwanda 2013 Developing
## 315 Portugal 2012 Developed
## 316 Cook Islands 2013 Developing
## 317 Turkey 2010 Developing
## 318 Sri Lanka 2006 Developing
## 319 Cabo Verde 2003 Developing
## 320 Zambia 2005 Developing
## 321 Albania 2001 Developing
## 322 Pakistan 2008 Developing
## 323 Honduras 2015 Developing
## 324 Trinidad and Tobago 2011 Developing
## 325 Argentina 2002 Developing
## 326 Afghanistan 2000 Developing
## 327 Bahrain 2014 Developing
## 328 Lao People's Democratic Republic 2006 Developing
## 329 Turkey 2009 Developing
## 330 Central African Republic 2004 Developing
## 331 Lebanon 2013 Developing
## 332 Finland 2006 Developing
## 333 Malaysia 2000 Developing
## 334 Bangladesh 2004 Developing
## 335 South Sudan 2004 Developing
## 336 Spain 2009 Developed
## 337 Honduras 2008 Developing
## 338 Solomon Islands 2014 Developing
## 339 Belize 2013 Developing
## 340 Cameroon 2002 Developing
## 341 Niger 2004 Developing
## 342 Myanmar 2012 Developing
## 343 United Arab Emirates 2011 Developing
## 344 Kazakhstan 2007 Developing
## 345 Haiti 2006 Developing
## 346 Japan 2005 Developed
## 347 Afghanistan 2006 Developing
## 348 Bahamas 2006 Developing
## 349 Sri Lanka 2007 Developing
## 350 Iran (Islamic Republic of) 2001 Developing
## 351 New Zealand 2010 Developed
## 352 Zambia 2009 Developing
## 353 Armenia 2004 Developing
## 354 Afghanistan 2008 Developing
## 355 Costa Rica 2015 Developing
## 356 Belize 2011 Developing
## 357 Solomon Islands 2003 Developing
## 358 Guinea-Bissau 2008 Developing
## 359 Slovakia 2015 Developed
## 360 Maldives 2009 Developing
## 361 Norway 2015 Developed
## 362 Italy 2012 Developed
## 363 Morocco 2004 Developing
## 364 Timor-Leste 2015 Developing
## 365 Montenegro 2001 Developing
## 366 Iraq 2007 Developing
## 367 Cuba 2006 Developing
## 368 Georgia 2004 Developing
## 369 Honduras 2011 Developing
## 370 Cabo Verde 2012 Developing
## 371 Eritrea 2010 Developing
## 372 Pakistan 2010 Developing
## 373 Maldives 2015 Developing
## 374 United Kingdom of Great Britain and Northern Ireland 2011 Developed
## 375 Croatia 2011 Developed
## 376 Guatemala 2014 Developing
## 377 Ireland 2002 Developed
## 378 Ethiopia 2007 Developing
## 379 Mauritania 2011 Developing
## 380 Niger 2007 Developing
## 381 Japan 2002 Developed
## 382 Zimbabwe 2010 Developing
## 383 Philippines 2004 Developing
## 384 Malta 2014 Developed
## 385 Ecuador 2009 Developing
## 386 Kyrgyzstan 2014 Developing
## 387 Zimbabwe 2001 Developing
## 388 Indonesia 2014 Developing
## 389 Benin 2010 Developing
## 390 Belgium 2015 Developed
## 391 Albania 2008 Developing
## 392 United Republic of Tanzania 2011 Developing
## 393 Qatar 2002 Developing
## 394 Japan 2003 Developed
## 395 Montenegro 2005 Developing
## 396 Portugal 2004 Developed
## 397 Mexico 2004 Developing
## 398 Brunei Darussalam 2006 Developing
## 399 Chile 2011 Developing
## 400 Malta 2011 Developed
## 401 Zimbabwe 2008 Developing
## 402 Republic of Korea 2007 Developing
## 403 Sweden 2009 Developed
## 404 Bulgaria 2007 Developed
## 405 Kuwait 2015 Developing
## 406 Cuba 2003 Developing
## 407 Indonesia 2005 Developing
## 408 Bolivia (Plurinational State of) 2009 Developing
## 409 Saudi Arabia 2012 Developing
## 410 Lao People's Democratic Republic 2000 Developing
## 411 Kuwait 2004 Developing
## 412 Qatar 2001 Developing
## 413 Guyana 2014 Developing
## 414 Bolivia (Plurinational State of) 2001 Developing
## 415 Nicaragua 2015 Developing
## 416 Mauritania 2001 Developing
## 417 Australia 2008 Developed
## 418 Madagascar 2013 Developing
## 419 Suriname 2000 Developing
## 420 Comoros 2009 Developing
## 421 Yemen 2015 Developing
## 422 Jordan 2007 Developing
## 423 Romania 2006 Developed
## 424 Turkmenistan 2009 Developing
## 425 Austria 2010 Developed
## 426 Burundi 2008 Developing
## 427 Poland 2001 Developed
## 428 Estonia 2003 Developing
## 429 Cuba 2005 Developing
## 430 Nepal 2005 Developing
## 431 Angola 2015 Developing
## 432 Liberia 2006 Developing
## 433 Bangladesh 2015 Developing
## 434 Bhutan 2001 Developing
## 435 Saudi Arabia 2011 Developing
## 436 Bahrain 2001 Developing
## 437 Swaziland 2011 Developing
## 438 Rwanda 2000 Developing
## 439 Marshall Islands 2013 Developing
## 440 Egypt 2001 Developing
## 441 Republic of Moldova 2010 Developing
## 442 Latvia 2012 Developed
## 443 Japan 2014 Developed
## 444 Kuwait 2013 Developing
## 445 Madagascar 2011 Developing
## 446 Tonga 2013 Developing
## 447 Mali 2010 Developing
## 448 Gabon 2012 Developing
## 449 Lao People's Democratic Republic 2005 Developing
## 450 Czechia 2007 Developed
## 451 Myanmar 2009 Developing
## 452 Iran (Islamic Republic of) 2007 Developing
## 453 Djibouti 2011 Developing
## 454 Georgia 2001 Developing
## 455 Lebanon 2010 Developing
## 456 Belgium 2005 Developed
## 457 Croatia 2014 Developed
## 458 Tajikistan 2001 Developing
## 459 Samoa 2006 Developing
## 460 Jordan 2000 Developing
## 461 Samoa 2000 Developing
## 462 Romania 2009 Developed
## 463 Tajikistan 2015 Developing
## 464 Libya 2005 Developing
## 465 Togo 2001 Developing
## 466 Côte d'Ivoire 2003 Developing
## 467 Argentina 2001 Developing
## 468 Brunei Darussalam 2005 Developing
## 469 Kenya 2012 Developing
## 470 Serbia 2012 Developing
## 471 Congo 2004 Developing
## 472 Côte d'Ivoire 2000 Developing
## 473 Belgium 2014 Developed
## 474 Paraguay 2015 Developing
## 475 Burkina Faso 2009 Developing
## 476 Serbia 2004 Developing
## 477 Liberia 2008 Developing
## 478 Lebanon 2009 Developing
## 479 Barbados 2006 Developing
## 480 Uganda 2014 Developing
## 481 Antigua and Barbuda 2001 Developing
## 482 Lithuania 2007 Developed
## 483 Seychelles 2012 Developing
## 484 Colombia 2013 Developing
## 485 Netherlands 2014 Developed
## 486 Burundi 2010 Developing
## 487 Cameroon 2003 Developing
## 488 Democratic Republic of the Congo 2007 Developing
## 489 Nepal 2009 Developing
## 490 Senegal 2008 Developing
## 491 Ukraine 2011 Developing
## 492 Estonia 2005 Developing
## 493 South Africa 2003 Developing
## 494 Guatemala 2009 Developing
## 495 Fiji 2010 Developing
## 496 Equatorial Guinea 2002 Developing
## 497 Cabo Verde 2014 Developing
## 498 Ireland 2010 Developed
## 499 Kazakhstan 2004 Developing
## 500 Nicaragua 2013 Developing
## 501 Viet Nam 2008 Developing
## 502 Bangladesh 2007 Developing
## 503 Angola 2012 Developing
## 504 Iraq 2001 Developing
## 505 Vanuatu 2012 Developing
## 506 United States of America 2012 Developed
## 507 Colombia 2015 Developing
## 508 Cabo Verde 2007 Developing
## 509 Ghana 2011 Developing
## 510 United Arab Emirates 2003 Developing
## 511 Madagascar 2005 Developing
## 512 Grenada 2014 Developing
## 513 Iran (Islamic Republic of) 2004 Developing
## 514 Saint Lucia 2012 Developing
## 515 Republic of Korea 2010 Developing
## 516 Russian Federation 2012 Developing
## 517 Paraguay 2003 Developing
## 518 Comoros 2002 Developing
## 519 Saint Lucia 2009 Developing
## 520 Equatorial Guinea 2011 Developing
## 521 Poland 2014 Developed
## 522 Canada 2013 Developing
## 523 Togo 2003 Developing
## 524 Mauritania 2009 Developing
## 525 Uzbekistan 2011 Developing
## 526 Antigua and Barbuda 2009 Developing
## 527 Myanmar 2000 Developing
## 528 Argentina 2015 Developing
## 529 United Republic of Tanzania 2005 Developing
## 530 Ethiopia 2002 Developing
## 531 Mozambique 2006 Developing
## 532 Uganda 2000 Developing
## 533 Timor-Leste 2009 Developing
## 534 Mauritius 2013 Developing
## 535 Saint Vincent and the Grenadines 2015 Developing
## 536 Costa Rica 2013 Developing
## 537 Guatemala 2004 Developing
## 538 Tunisia 2009 Developing
## 539 Sudan 2013 Developing
## 540 Mali 2000 Developing
## 541 Equatorial Guinea 2014 Developing
## 542 Sri Lanka 2003 Developing
## 543 Comoros 2006 Developing
## 544 Bosnia and Herzegovina 2005 Developing
## 545 Fiji 2013 Developing
## 546 Namibia 2001 Developing
## 547 Bhutan 2013 Developing
## 548 Denmark 2010 Developed
## 549 El Salvador 2005 Developing
## 550 United Arab Emirates 2008 Developing
## 551 Togo 2008 Developing
## 552 Poland 2015 Developed
## 553 Kenya 2013 Developing
## 554 Venezuela (Bolivarian Republic of) 2009 Developing
## 555 Canada 2008 Developing
## 556 Ghana 2000 Developing
## 557 Dominican Republic 2000 Developing
## 558 South Africa 2000 Developing
## 559 Eritrea 2011 Developing
## 560 Venezuela (Bolivarian Republic of) 2003 Developing
## 561 Guinea-Bissau 2010 Developing
## 562 Cabo Verde 2015 Developing
## 563 United Republic of Tanzania 2010 Developing
## 564 Bosnia and Herzegovina 2001 Developing
## 565 Uganda 2004 Developing
## 566 Singapore 2010 Developed
## 567 Bangladesh 2001 Developing
## 568 Côte d'Ivoire 2012 Developing
## 569 Comoros 2007 Developing
## 570 Swaziland 2012 Developing
## 571 Bulgaria 2013 Developed
## 572 Kiribati 2013 Developing
## 573 Denmark 2011 Developed
## 574 Uganda 2002 Developing
## 575 New Zealand 2002 Developed
## 576 Central African Republic 2005 Developing
## 577 Colombia 2006 Developing
## 578 Belgium 2000 Developed
## 579 Somalia 2002 Developing
## 580 Argentina 2008 Developing
## 581 Lao People's Democratic Republic 2002 Developing
## 582 Niger 2012 Developing
## 583 Togo 2012 Developing
## 584 Slovenia 2002 Developed
## 585 Cabo Verde 2001 Developing
## 586 Cyprus 2004 Developed
## 587 Singapore 2001 Developed
## 588 Egypt 2015 Developing
## 589 Seychelles 2007 Developing
## 590 Dominican Republic 2008 Developing
## 591 Vanuatu 2007 Developing
## 592 Kazakhstan 2010 Developing
## 593 Sao Tome and Principe 2013 Developing
## 594 Japan 2008 Developed
## 595 Uruguay 2007 Developing
## 596 Micronesia (Federated States of) 2012 Developing
## 597 Luxembourg 2001 Developed
## 598 Finland 2001 Developing
## 599 Paraguay 2013 Developing
## 600 Slovakia 2008 Developed
## 601 Norway 2004 Developed
## 602 Philippines 2015 Developing
## 603 Ireland 2015 Developed
## 604 Malta 2004 Developed
## 605 Sweden 2007 Developed
## 606 Uzbekistan 2012 Developing
## 607 Chad 2009 Developing
## 608 Syrian Arab Republic 2002 Developing
## 609 Georgia 2012 Developing
## 610 Rwanda 2007 Developing
## 611 Cabo Verde 2008 Developing
## 612 Ecuador 2013 Developing
## 613 Switzerland 2003 Developed
## 614 Cameroon 2014 Developing
## 615 Israel 2010 Developing
## 616 Rwanda 2014 Developing
## 617 Czechia 2009 Developed
## 618 Cabo Verde 2005 Developing
## 619 Jordan 2010 Developing
## 620 Malawi 2000 Developing
## 621 Austria 2005 Developed
## 622 Myanmar 2014 Developing
## 623 Cameroon 2015 Developing
## 624 Equatorial Guinea 2007 Developing
## 625 New Zealand 2009 Developed
## 626 Belgium 2006 Developed
## 627 Mali 2013 Developing
## 628 Costa Rica 2008 Developing
## 629 Malta 2000 Developed
## 630 United Republic of Tanzania 2003 Developing
## 631 Haiti 2015 Developing
## 632 Guyana 2000 Developing
## 633 Guinea 2008 Developing
## 634 Sudan 2002 Developing
## 635 Luxembourg 2005 Developed
## 636 Portugal 2015 Developed
## 637 United Republic of Tanzania 2015 Developing
## 638 Bangladesh 2002 Developing
## 639 Bangladesh 2009 Developing
## 640 Maldives 2005 Developing
## 641 Spain 2005 Developed
## 642 Singapore 2012 Developed
## 643 Tunisia 2006 Developing
## 644 Sierra Leone 2015 Developing
## 645 Switzerland 2004 Developed
## 646 Philippines 2011 Developing
## 647 Norway 2010 Developed
## 648 Madagascar 2015 Developing
## 649 Libya 2010 Developing
## 650 Italy 2003 Developed
## 651 Bulgaria 2002 Developed
## 652 Iraq 2008 Developing
## 653 Iceland 2007 Developed
## 654 The former Yugoslav republic of Macedonia 2015 Developing
## 655 Cuba 2013 Developing
## 656 Botswana 2005 Developing
## 657 Malaysia 2013 Developing
## 658 Vanuatu 2004 Developing
## 659 Uruguay 2015 Developing
## 660 Republic of Korea 2000 Developing
## 661 Israel 2011 Developing
## 662 Kiribati 2000 Developing
## 663 South Africa 2002 Developing
## 664 Guatemala 2006 Developing
## 665 Trinidad and Tobago 2014 Developing
## 666 Kuwait 2010 Developing
## 667 France 2014 Developing
## 668 Tunisia 2013 Developing
## 669 Montenegro 2015 Developing
## 670 Saudi Arabia 2007 Developing
## 671 New Zealand 2007 Developed
## 672 Germany 2012 Developed
## 673 Mauritius 2001 Developing
## 674 Democratic People's Republic of Korea 2008 Developing
## 675 Bangladesh 2008 Developing
## 676 Suriname 2007 Developing
## 677 Belize 2014 Developing
## 678 Kuwait 2006 Developing
## 679 Panama 2012 Developing
## 680 Haiti 2002 Developing
## 681 Cambodia 2011 Developing
## 682 Congo 2012 Developing
## 683 Lao People's Democratic Republic 2007 Developing
## 684 Norway 2003 Developed
## 685 Sierra Leone 2011 Developing
## 686 Bhutan 2014 Developing
## 687 Cambodia 2014 Developing
## 688 Egypt 2004 Developing
## 689 Oman 2005 Developing
## 690 Oman 2014 Developing
## 691 Afghanistan 2007 Developing
## 692 Estonia 2015 Developing
## 693 Croatia 2015 Developed
## 694 Fiji 2007 Developing
## 695 Guatemala 2010 Developing
## 696 Albania 2014 Developing
## 697 Suriname 2001 Developing
## 698 Uzbekistan 2003 Developing
## 699 Gambia 2015 Developing
## 700 Zambia 2001 Developing
## 701 Philippines 2000 Developing
## 702 Antigua and Barbuda 2013 Developing
## 703 Estonia 2004 Developing
## 704 Brunei Darussalam 2001 Developing
## 705 Uruguay 2003 Developing
## 706 Cambodia 2009 Developing
## 707 Spain 2014 Developed
## 708 United Republic of Tanzania 2001 Developing
## 709 Suriname 2014 Developing
## 710 Bahamas 2015 Developing
## 711 Burundi 2011 Developing
## 712 Qatar 2010 Developing
## 713 Sierra Leone 2006 Developing
## 714 Ireland 2001 Developed
## 715 Papua New Guinea 2001 Developing
## 716 Sudan 2000 Developing
## 717 Guatemala 2008 Developing
## 718 Pakistan 2012 Developing
## 719 Peru 2015 Developing
## 720 Algeria 2004 Developing
## 721 Barbados 2000 Developing
## 722 Greece 2010 Developing
## 723 Fiji 2002 Developing
## 724 Tunisia 2008 Developing
## 725 Yemen 2012 Developing
## 726 Cyprus 2006 Developed
## 727 Lesotho 2015 Developing
## 728 Angola 2008 Developing
## 729 Jamaica 2012 Developing
## 730 Turkey 2008 Developing
## 731 Croatia 2003 Developed
## 732 Belarus 2011 Developing
## 733 Malaysia 2002 Developing
## 734 Trinidad and Tobago 2008 Developing
## 735 Luxembourg 2010 Developed
## 736 Norway 2014 Developed
## 737 Romania 2001 Developed
## 738 Latvia 2000 Developed
## 739 Portugal 2006 Developed
## 740 Croatia 2008 Developed
## 741 Bahamas 2013 Developing
## 742 Libya 2013 Developing
## 743 Croatia 2001 Developed
## 744 El Salvador 2014 Developing
## 745 Brazil 2013 Developing
## 746 Qatar 2004 Developing
## 747 Dominican Republic 2005 Developing
## 748 Tajikistan 2009 Developing
## 749 Micronesia (Federated States of) 2004 Developing
## 750 Canada 2009 Developing
## 751 Burkina Faso 2007 Developing
## 752 Syrian Arab Republic 2000 Developing
## 753 Cuba 2004 Developing
## 754 Egypt 2006 Developing
## 755 Paraguay 2002 Developing
## 756 Azerbaijan 2012 Developing
## 757 Russian Federation 2010 Developing
## 758 Brunei Darussalam 2012 Developing
## 759 Central African Republic 2011 Developing
## 760 Guinea 2010 Developing
## 761 Antigua and Barbuda 2003 Developing
## 762 Sao Tome and Principe 2004 Developing
## 763 Cyprus 2005 Developed
## 764 Colombia 2008 Developing
## 765 Swaziland 2006 Developing
## 766 Democratic People's Republic of Korea 2001 Developing
## 767 Guinea-Bissau 2007 Developing
## 768 Seychelles 2008 Developing
## 769 Bhutan 2000 Developing
## 770 Namibia 2005 Developing
## 771 El Salvador 2001 Developing
## 772 Mongolia 2014 Developing
## 773 Tunisia 2003 Developing
## 774 Armenia 2012 Developing
## 775 Grenada 2009 Developing
## 776 South Sudan 2007 Developing
## 777 Bahrain 2012 Developing
## 778 Norway 2006 Developed
## 779 Uganda 2008 Developing
## 780 Zambia 2011 Developing
## 781 Finland 2000 Developing
## 782 Czechia 2002 Developed
## 783 Botswana 2009 Developing
## 784 Tonga 2009 Developing
## 785 Iran (Islamic Republic of) 2003 Developing
## 786 Japan 2015 Developed
## 787 Yemen 2001 Developing
## 788 Venezuela (Bolivarian Republic of) 2006 Developing
## 789 Kuwait 2005 Developing
## 790 Ghana 2005 Developing
## 791 Spain 2007 Developed
## 792 Mauritania 2002 Developing
## 793 Micronesia (Federated States of) 2010 Developing
## 794 Guatemala 2011 Developing
## 795 Turkmenistan 2014 Developing
## 796 Haiti 2011 Developing
## 797 Gabon 2005 Developing
## 798 Bulgaria 2000 Developed
## 799 Afghanistan 2014 Developing
## 800 Mexico 2001 Developing
## 801 Uganda 2009 Developing
## 802 Barbados 2009 Developing
## 803 Mongolia 2010 Developing
## 804 Ghana 2007 Developing
## 805 Kazakhstan 2012 Developing
## 806 Mongolia 2001 Developing
## 807 Burundi 2002 Developing
## 808 Mongolia 2009 Developing
## 809 United States of America 2006 Developed
## 810 Democratic People's Republic of Korea 2005 Developing
## 811 Djibouti 2015 Developing
## 812 Serbia 2010 Developing
## 813 Timor-Leste 2004 Developing
## 814 Solomon Islands 2005 Developing
## 815 Mauritania 2012 Developing
## 816 Congo 2009 Developing
## 817 Egypt 2014 Developing
## 818 South Sudan 2008 Developing
## 819 El Salvador 2009 Developing
## 820 Central African Republic 2013 Developing
## 821 Turkmenistan 2010 Developing
## 822 Angola 2013 Developing
## 823 United Republic of Tanzania 2000 Developing
## 824 Slovenia 2008 Developed
## 825 Iraq 2003 Developing
## 826 Congo 2011 Developing
## 827 Oman 2000 Developing
## 828 Hungary 2001 Developed
## 829 Swaziland 2008 Developing
## 830 Mali 2002 Developing
## 831 Bolivia (Plurinational State of) 2002 Developing
## 832 Burundi 2013 Developing
## 833 Zimbabwe 2012 Developing
## 834 Republic of Moldova 2012 Developing
## 835 Solomon Islands 2010 Developing
## 836 Austria 2001 Developed
## 837 Madagascar 2004 Developing
## 838 Maldives 2013 Developing
## 839 Turkmenistan 2002 Developing
## 840 Swaziland 2014 Developing
## 841 Morocco 2012 Developing
## 842 United Kingdom of Great Britain and Northern Ireland 2015 Developed
## 843 Democratic Republic of the Congo 2014 Developing
## 844 Vanuatu 2000 Developing
## 845 Iraq 2015 Developing
## 846 Micronesia (Federated States of) 2006 Developing
## 847 Cameroon 2009 Developing
## 848 Estonia 2010 Developing
## 849 Chad 2000 Developing
## 850 Algeria 2000 Developing
## 851 Rwanda 2002 Developing
## 852 Azerbaijan 2008 Developing
## 853 Thailand 2008 Developing
## 854 Nicaragua 2008 Developing
## 855 Chad 2007 Developing
## 856 Czechia 2012 Developed
## 857 Luxembourg 2002 Developed
## 858 Cyprus 2008 Developed
## 859 Mozambique 2008 Developing
## 860 Liberia 2012 Developing
## 861 Madagascar 2010 Developing
## 862 Iceland 2004 Developed
## 863 Mauritania 2015 Developing
## 864 Netherlands 2013 Developed
## 865 Dominican Republic 2004 Developing
## 866 Burundi 2000 Developing
## 867 Jordan 2001 Developing
## 868 South Africa 2010 Developing
## 869 Republic of Korea 2009 Developing
## 870 Slovenia 2003 Developed
## 871 Algeria 2009 Developing
## 872 Bosnia and Herzegovina 2009 Developing
## 873 Algeria 2003 Developing
## 874 Syrian Arab Republic 2011 Developing
## 875 Micronesia (Federated States of) 2005 Developing
## 876 El Salvador 2006 Developing
## 877 Thailand 2001 Developing
## 878 Switzerland 2012 Developed
## 879 Azerbaijan 2001 Developing
## 880 Micronesia (Federated States of) 2013 Developing
## 881 Portugal 2013 Developed
## 882 Mauritius 2014 Developing
## 883 United Arab Emirates 2006 Developing
## 884 Bangladesh 2006 Developing
## 885 Kenya 2006 Developing
## 886 Malawi 2013 Developing
## 887 Tunisia 2010 Developing
## 888 Tonga 2005 Developing
## 889 Peru 2006 Developing
## 890 Austria 2000 Developed
## 891 Greece 2012 Developing
## 892 Djibouti 2005 Developing
## 893 United States of America 2014 Developed
## 894 Montenegro 2012 Developing
## 895 Argentina 2007 Developing
## 896 Lesotho 2004 Developing
## 897 Guyana 2003 Developing
## 898 Netherlands 2007 Developed
## 899 Eritrea 2009 Developing
## 900 Italy 2010 Developed
## 901 Solomon Islands 2007 Developing
## 902 Ethiopia 2011 Developing
## 903 Djibouti 2013 Developing
## 904 Nepal 2013 Developing
## 905 Uruguay 2010 Developing
## 906 Austria 2002 Developed
## 907 Poland 2010 Developed
## 908 Lebanon 2001 Developing
## 909 Estonia 2013 Developing
## 910 Zambia 2004 Developing
## 911 Afghanistan 2012 Developing
## 912 Algeria 2013 Developing
## 913 Uruguay 2013 Developing
## 914 Turkey 2006 Developing
## 915 Slovenia 2015 Developed
## 916 Timor-Leste 2011 Developing
## 917 Mauritania 2003 Developing
## 918 Latvia 2002 Developed
## 919 Myanmar 2001 Developing
## 920 Jamaica 2008 Developing
## 921 Thailand 2013 Developing
## 922 Uganda 2010 Developing
## 923 Zimbabwe 2007 Developing
## 924 Portugal 2010 Developed
## 925 Belize 2008 Developing
## 926 Fiji 2001 Developing
## 927 Slovenia 2004 Developed
## 928 Serbia 2005 Developing
## 929 Brazil 2010 Developing
## 930 Grenada 2002 Developing
## 931 Senegal 2007 Developing
## 932 Republic of Moldova 2013 Developing
## 933 Philippines 2007 Developing
## 934 Swaziland 2009 Developing
## 935 Somalia 2009 Developing
## 936 El Salvador 2015 Developing
## 937 Fiji 2000 Developing
## 938 Finland 2008 Developing
## 939 Ecuador 2004 Developing
## 940 Republic of Korea 2014 Developing
## 941 Antigua and Barbuda 2011 Developing
## 942 Kenya 2005 Developing
## 943 Uruguay 2001 Developing
## 944 Malawi 2004 Developing
## 945 Peru 2005 Developing
## 946 Bolivia (Plurinational State of) 2008 Developing
## 947 Afghanistan 2015 Developing
## 948 Panama 2007 Developing
## 949 Eritrea 2004 Developing
## 950 Mauritania 2005 Developing
## 951 Canada 2014 Developing
## 952 Guinea 2014 Developing
## 953 Luxembourg 2011 Developed
## 954 Iran (Islamic Republic of) 2013 Developing
## 955 Kyrgyzstan 2008 Developing
## 956 Solomon Islands 2011 Developing
## 957 Myanmar 2004 Developing
## 958 Kyrgyzstan 2010 Developing
## 959 Israel 2003 Developing
## 960 Guatemala 2001 Developing
## 961 Cambodia 2001 Developing
## 962 Paraguay 2014 Developing
## 963 Slovakia 2005 Developed
## 964 Republic of Korea 2003 Developing
## 965 Kazakhstan 2006 Developing
## 966 Germany 2005 Developed
## 967 Bulgaria 2006 Developed
## 968 Mongolia 2006 Developing
## 969 Barbados 2003 Developing
## 970 Suriname 2011 Developing
## 971 United Kingdom of Great Britain and Northern Ireland 2006 Developed
## 972 Czechia 2000 Developed
## 973 Swaziland 2003 Developing
## 974 Swaziland 2007 Developing
## 975 South Sudan 2015 Developing
## 976 Singapore 2009 Developed
## 977 Romania 2000 Developed
## 978 Lesotho 2008 Developing
## 979 Swaziland 2013 Developing
## 980 Syrian Arab Republic 2012 Developing
## 981 Myanmar 2007 Developing
## 982 Burkina Faso 2013 Developing
## 983 Gambia 2000 Developing
## 984 Slovakia 2013 Developed
## 985 Papua New Guinea 2014 Developing
## 986 Panama 2005 Developing
## 987 Namibia 2002 Developing
## 988 Côte d'Ivoire 2013 Developing
## 989 Norway 2008 Developed
## 990 Slovenia 2000 Developed
## 991 Kiribati 2007 Developing
## 992 Malaysia 2014 Developing
## 993 Pakistan 2000 Developing
## 994 Uzbekistan 2000 Developing
## 995 Brazil 2002 Developing
## 996 Greece 2000 Developing
## 997 Russian Federation 2009 Developing
## 998 Bosnia and Herzegovina 2015 Developing
## 999 Trinidad and Tobago 2005 Developing
## 1000 Dominican Republic 2003 Developing
## 1001 Micronesia (Federated States of) 2002 Developing
## 1002 Papua New Guinea 2005 Developing
## 1003 Eritrea 2001 Developing
## 1004 Nigeria 2015 Developing
## 1005 Sierra Leone 2012 Developing
## 1006 Uruguay 2012 Developing
## 1007 Poland 2002 Developed
## 1008 Togo 2011 Developing
## 1009 Botswana 2006 Developing
## 1010 Chad 2014 Developing
## 1011 Lesotho 2013 Developing
## 1012 Peru 2011 Developing
## 1013 Peru 2001 Developing
## 1014 Bangladesh 2010 Developing
## 1015 Russian Federation 2003 Developing
## 1016 Angola 2010 Developing
## 1017 Micronesia (Federated States of) 2008 Developing
## 1018 Poland 2013 Developed
## 1019 Antigua and Barbuda 2007 Developing
## 1020 Samoa 2010 Developing
## 1021 South Sudan 2001 Developing
## 1022 Panama 2011 Developing
## 1023 Australia 2014 Developed
## 1024 Qatar 2011 Developing
## 1025 Trinidad and Tobago 2000 Developing
## 1026 South Sudan 2000 Developing
## 1027 Namibia 2009 Developing
## 1028 Slovakia 2010 Developed
## 1029 Albania 2012 Developing
## 1030 Cambodia 2015 Developing
## 1031 Ireland 2006 Developed
## 1032 Germany 2006 Developed
## 1033 Indonesia 2015 Developing
## 1034 Saint Lucia 2001 Developing
## 1035 Belize 2003 Developing
## 1036 Guinea-Bissau 2006 Developing
## 1037 Equatorial Guinea 2015 Developing
## 1038 Guyana 2006 Developing
## 1039 United Kingdom of Great Britain and Northern Ireland 2002 Developed
## 1040 Cameroon 2004 Developing
## 1041 Italy 2007 Developed
## 1042 Grenada 2015 Developing
## 1043 Greece 2007 Developing
## 1044 Guinea 2003 Developing
## 1045 Kiribati 2014 Developing
## 1046 Burkina Faso 2010 Developing
## 1047 Azerbaijan 2005 Developing
## 1048 Paraguay 2004 Developing
## 1049 Israel 2006 Developing
## 1050 Bulgaria 2010 Developed
## 1051 Mozambique 2013 Developing
## 1052 Belarus 2012 Developing
## 1053 El Salvador 2011 Developing
## 1054 Canada 2006 Developing
## 1055 Qatar 2003 Developing
## 1056 Sierra Leone 2014 Developing
## 1057 Myanmar 2005 Developing
## 1058 United Republic of Tanzania 2002 Developing
## 1059 Ecuador 2005 Developing
## 1060 Bangladesh 2012 Developing
## 1061 Bulgaria 2011 Developed
## 1062 Malta 2002 Developed
## 1063 United Arab Emirates 2001 Developing
## 1064 Suriname 2009 Developing
## 1065 Malta 2007 Developed
## 1066 Zambia 2002 Developing
## 1067 Hungary 2009 Developed
## 1068 Botswana 2013 Developing
## 1069 Iceland 2006 Developed
## 1070 Saint Vincent and the Grenadines 2011 Developing
## 1071 China 2004 Developing
## 1072 Montenegro 2009 Developing
## 1073 Iraq 2005 Developing
## 1074 Albania 2015 Developing
## 1075 Tunisia 2004 Developing
## 1076 Chile 2007 Developing
## 1077 Ukraine 2004 Developing
## 1078 Belarus 2001 Developing
## 1079 Bosnia and Herzegovina 2004 Developing
## 1080 Canada 2002 Developing
## 1081 Somalia 2003 Developing
## 1082 Uzbekistan 2010 Developing
## 1083 Turkey 2004 Developing
## 1084 Belize 2005 Developing
## 1085 Mauritius 2004 Developing
## 1086 Russian Federation 2007 Developing
## 1087 Lithuania 2008 Developed
## 1088 Republic of Korea 2013 Developing
## 1089 Kenya 2010 Developing
## 1090 Paraguay 2001 Developing
## 1091 Croatia 2006 Developed
## 1092 Chile 2015 Developing
## 1093 Ukraine 2013 Developing
## 1094 Nepal 2014 Developing
## 1095 Singapore 2008 Developed
## 1096 New Zealand 2003 Developed
## 1097 Mauritius 2009 Developing
## 1098 Lesotho 2010 Developing
## 1099 Luxembourg 2000 Developed
## 1100 Armenia 2010 Developing
## 1101 Palau 2013 Developing
## 1102 Kiribati 2011 Developing
## 1103 Kyrgyzstan 2006 Developing
## 1104 Libya 2009 Developing
## 1105 Antigua and Barbuda 2000 Developing
## 1106 Viet Nam 2009 Developing
## 1107 Slovakia 2012 Developed
## 1108 Chad 2011 Developing
## 1109 South Africa 2004 Developing
## 1110 El Salvador 2004 Developing
## 1111 Cyprus 2015 Developed
## 1112 Grenada 2006 Developing
## 1113 Burundi 2012 Developing
## 1114 Azerbaijan 2006 Developing
## 1115 Russian Federation 2008 Developing
## 1116 Argentina 2006 Developing
## 1117 Jamaica 2013 Developing
## 1118 Brunei Darussalam 2008 Developing
## 1119 Sao Tome and Principe 2011 Developing
## 1120 Mexico 2000 Developing
## 1121 Rwanda 2008 Developing
## 1122 Afghanistan 2004 Developing
## 1123 Myanmar 2011 Developing
## 1124 Niger 2000 Developing
## 1125 Turkey 2011 Developing
## 1126 Gabon 2002 Developing
## 1127 Netherlands 2005 Developed
## 1128 Russian Federation 2004 Developing
## 1129 United States of America 2010 Developed
## 1130 Syrian Arab Republic 2014 Developing
## 1131 Botswana 2000 Developing
## 1132 United Republic of Tanzania 2014 Developing
## 1133 Brunei Darussalam 2000 Developing
## 1134 Benin 2001 Developing
## 1135 Angola 2004 Developing
## 1136 Republic of Korea 2002 Developing
## 1137 Malta 2015 Developed
## 1138 Solomon Islands 2001 Developing
## 1139 Democratic Republic of the Congo 2000 Developing
## 1140 Sudan 2012 Developing
## 1141 Iran (Islamic Republic of) 2008 Developing
## 1142 Norway 2009 Developed
## 1143 Cuba 2014 Developing
## 1144 Mozambique 2005 Developing
## 1145 Comoros 2000 Developing
## 1146 Mozambique 2004 Developing
## 1147 Japan 2000 Developed
## 1148 Lithuania 2010 Developed
## 1149 Finland 2015 Developing
## 1150 Austria 2012 Developed
## 1151 Saint Vincent and the Grenadines 2006 Developing
## 1152 Yemen 2013 Developing
## 1153 Finland 2005 Developing
## 1154 Seychelles 2002 Developing
## 1155 Cameroon 2012 Developing
## 1156 Turkey 2005 Developing
## 1157 Jordan 2012 Developing
## 1158 Belarus 2010 Developing
## 1159 Bosnia and Herzegovina 2013 Developing
## 1160 Barbados 2011 Developing
## 1161 Yemen 2009 Developing
## 1162 Oman 2013 Developing
## 1163 Poland 2003 Developed
## 1164 Italy 2013 Developed
## 1165 Cambodia 2013 Developing
## 1166 Republic of Moldova 2008 Developing
## 1167 Maldives 2011 Developing
## 1168 Kiribati 2004 Developing
## 1169 Azerbaijan 2015 Developing
## 1170 Vanuatu 2010 Developing
## 1171 Portugal 2007 Developed
## 1172 Armenia 2014 Developing
## 1173 Qatar 2006 Developing
## 1174 Switzerland 2008 Developed
## 1175 Niger 2001 Developing
## 1176 Italy 2004 Developed
## 1177 Kiribati 2010 Developing
## 1178 Timor-Leste 2010 Developing
## 1179 Nepal 2008 Developing
## 1180 Austria 2006 Developed
## 1181 Ethiopia 2005 Developing
## 1182 Malawi 2012 Developing
## 1183 Iran (Islamic Republic of) 2005 Developing
## 1184 Dominican Republic 2006 Developing
## 1185 Russian Federation 2002 Developing
## 1186 Haiti 2010 Developing
## 1187 Indonesia 2007 Developing
## 1188 Turkmenistan 2011 Developing
## 1189 Belarus 2002 Developing
## 1190 France 2007 Developing
## 1191 Australia 2010 Developed
## 1192 Ukraine 2003 Developing
## 1193 Maldives 2001 Developing
## 1194 Dominican Republic 2014 Developing
## 1195 Viet Nam 2000 Developing
## 1196 Togo 2005 Developing
## 1197 Mongolia 2012 Developing
## 1198 Afghanistan 2002 Developing
## 1199 Malaysia 2015 Developing
## 1200 Mexico 2008 Developing
## 1201 Colombia 2005 Developing
## 1202 Côte d'Ivoire 2015 Developing
## 1203 United Arab Emirates 2013 Developing
## 1204 The former Yugoslav republic of Macedonia 2014 Developing
## 1205 Belarus 2004 Developing
## 1206 Jamaica 2015 Developing
## 1207 Philippines 2003 Developing
## 1208 Ukraine 2012 Developing
## 1209 Thailand 2011 Developing
## 1210 Kazakhstan 2013 Developing
## 1211 Barbados 2008 Developing
## 1212 Belgium 2002 Developed
## 1213 Poland 2011 Developed
## 1214 Spain 2013 Developed
## 1215 Equatorial Guinea 2004 Developing
## 1216 Costa Rica 2002 Developing
## 1217 Guinea-Bissau 2013 Developing
## 1218 Germany 2007 Developed
## 1219 Honduras 2010 Developing
## 1220 Grenada 2004 Developing
## 1221 France 2005 Developing
## 1222 South Africa 2009 Developing
## 1223 Maldives 2014 Developing
## 1224 Colombia 2012 Developing
## 1225 Micronesia (Federated States of) 2003 Developing
## 1226 Guyana 2002 Developing
## 1227 Mali 2006 Developing
## 1228 Liberia 2013 Developing
## 1229 Czechia 2013 Developed
## 1230 Antigua and Barbuda 2010 Developing
## 1231 Egypt 2008 Developing
## 1232 Benin 2012 Developing
## 1233 Lesotho 2001 Developing
## 1234 Antigua and Barbuda 2005 Developing
## 1235 Bhutan 2008 Developing
## 1236 Burkina Faso 2011 Developing
## 1237 Denmark 2012 Developed
## 1238 Senegal 2015 Developing
## 1239 Poland 2009 Developed
## 1240 Bhutan 2005 Developing
## 1241 Sri Lanka 2005 Developing
## 1242 Egypt 2002 Developing
## 1243 Chad 2012 Developing
## 1244 Morocco 2005 Developing
## 1245 Somalia 2000 Developing
## 1246 Hungary 2014 Developed
## 1247 Greece 2014 Developing
## 1248 Gabon 2001 Developing
## 1249 Suriname 2012 Developing
## 1250 Djibouti 2004 Developing
## 1251 Guinea-Bissau 2001 Developing
## 1252 Democratic Republic of the Congo 2012 Developing
## 1253 Chile 2012 Developing
## 1254 Croatia 2000 Developed
## 1255 Latvia 2011 Developed
## 1256 Belgium 2007 Developed
## 1257 Guinea 2007 Developing
## 1258 Colombia 2011 Developing
## 1259 Nicaragua 2012 Developing
## 1260 Ecuador 2003 Developing
## 1261 Iran (Islamic Republic of) 2012 Developing
## 1262 Trinidad and Tobago 2013 Developing
## 1263 Burkina Faso 2001 Developing
## 1264 Malawi 2015 Developing
## 1265 Norway 2011 Developed
## 1266 Israel 2007 Developing
## 1267 Comoros 2014 Developing
## 1268 Sao Tome and Principe 2007 Developing
## 1269 Kazakhstan 2005 Developing
## 1270 Kiribati 2006 Developing
## 1271 Bahamas 2001 Developing
## 1272 Mali 2005 Developing
## 1273 Belarus 2006 Developing
## 1274 Italy 2002 Developed
## 1275 Senegal 2006 Developing
## 1276 Yemen 2002 Developing
## 1277 Kenya 2007 Developing
## 1278 Azerbaijan 2010 Developing
## 1279 Hungary 2010 Developed
## 1280 Syrian Arab Republic 2013 Developing
## 1281 Barbados 2010 Developing
## 1282 Mauritius 2015 Developing
## 1283 Dominican Republic 2013 Developing
## 1284 Cambodia 2006 Developing
## 1285 Luxembourg 2009 Developed
## 1286 Sao Tome and Principe 2000 Developing
## 1287 Burundi 2007 Developing
## 1288 South Sudan 2006 Developing
## 1289 Mozambique 2011 Developing
## 1290 Albania 2009 Developing
## 1291 Maldives 2000 Developing
## 1292 Bolivia (Plurinational State of) 2006 Developing
## 1293 Lao People's Democratic Republic 2011 Developing
## 1294 Canada 2007 Developing
## 1295 Romania 2013 Developed
## 1296 Slovenia 2012 Developed
## 1297 Viet Nam 2005 Developing
## 1298 Republic of Korea 2006 Developing
## 1299 Cyprus 2011 Developed
## 1300 Canada 2010 Developing
## 1301 Democratic People's Republic of Korea 2000 Developing
## 1302 Ethiopia 2014 Developing
## 1303 Maldives 2012 Developing
## 1304 Iceland 2008 Developed
## 1305 Portugal 2008 Developed
## 1306 Namibia 2011 Developing
## 1307 Yemen 2003 Developing
## 1308 Brazil 2015 Developing
## 1309 Bosnia and Herzegovina 2008 Developing
## 1310 Greece 2001 Developing
## 1311 Senegal 2009 Developing
## 1312 Papua New Guinea 2006 Developing
## 1313 Burkina Faso 2008 Developing
## 1314 Austria 2009 Developed
## 1315 Sierra Leone 2008 Developing
## 1316 Democratic Republic of the Congo 2009 Developing
## 1317 Solomon Islands 2008 Developing
## 1318 Liberia 2007 Developing
## 1319 Jamaica 2010 Developing
## 1320 South Sudan 2012 Developing
## 1321 Ethiopia 2009 Developing
## 1322 Algeria 2002 Developing
## 1323 Albania 2005 Developing
## 1324 Nepal 2000 Developing
## 1325 Panama 2001 Developing
## 1326 Sierra Leone 2007 Developing
## 1327 The former Yugoslav republic of Macedonia 2001 Developing
## 1328 Eritrea 2012 Developing
## 1329 Uzbekistan 2004 Developing
## 1330 Paraguay 2000 Developing
## 1331 Saint Lucia 2010 Developing
## 1332 Comoros 2001 Developing
## 1333 Paraguay 2011 Developing
## 1334 Indonesia 2010 Developing
## 1335 Israel 2012 Developing
## 1336 United States of America 2003 Developed
## 1337 Mauritius 2006 Developing
## 1338 Belarus 2015 Developing
## 1339 Panama 2000 Developing
## 1340 Malawi 2001 Developing
## 1341 France 2000 Developing
## 1342 Malawi 2008 Developing
## 1343 Lesotho 2009 Developing
## 1344 Netherlands 2004 Developed
## 1345 Brazil 2014 Developing
## 1346 Bangladesh 2005 Developing
## 1347 United Kingdom of Great Britain and Northern Ireland 2013 Developed
## 1348 Haiti 2001 Developing
## 1349 Serbia 2006 Developing
## 1350 Gambia 2004 Developing
## 1351 Lithuania 2003 Developed
## 1352 Russian Federation 2011 Developing
## 1353 Barbados 2001 Developing
## 1354 Luxembourg 2004 Developed
## 1355 Georgia 2014 Developing
## 1356 Belarus 2008 Developing
## 1357 Algeria 2011 Developing
## 1358 Zimbabwe 2011 Developing
## 1359 Hungary 2008 Developed
## 1360 United Republic of Tanzania 2009 Developing
## 1361 Gambia 2011 Developing
## 1362 Cuba 2011 Developing
## 1363 Tonga 2011 Developing
## 1364 Djibouti 2002 Developing
## 1365 Georgia 2002 Developing
## 1366 Benin 2014 Developing
## 1367 Micronesia (Federated States of) 2001 Developing
## 1368 Hungary 2006 Developed
## 1369 Iran (Islamic Republic of) 2011 Developing
## 1370 Fiji 2015 Developing
## 1371 Lebanon 2007 Developing
## 1372 Indonesia 2003 Developing
## 1373 Paraguay 2007 Developing
## 1374 Equatorial Guinea 2012 Developing
## 1375 Albania 2002 Developing
## 1376 Rwanda 2010 Developing
## 1377 Somalia 2011 Developing
## 1378 Indonesia 2013 Developing
## 1379 Saint Lucia 2002 Developing
## 1380 Bahrain 2003 Developing
## 1381 Sao Tome and Principe 2001 Developing
## 1382 Burundi 2006 Developing
## 1383 Germany 2010 Developed
## 1384 Bahrain 2010 Developing
## 1385 Luxembourg 2008 Developed
## 1386 Bahrain 2009 Developing
## 1387 Gabon 2004 Developing
## 1388 Portugal 2005 Developed
## 1389 Suriname 2002 Developing
## 1390 Cameroon 2001 Developing
## 1391 Ethiopia 2001 Developing
## 1392 Morocco 2013 Developing
## 1393 Democratic People's Republic of Korea 2002 Developing
## 1394 Italy 2008 Developed
## 1395 Equatorial Guinea 2013 Developing
## 1396 Luxembourg 2012 Developed
## 1397 United States of America 2008 Developed
## 1398 Denmark 2000 Developed
## 1399 Thailand 2004 Developing
## 1400 Turkey 2014 Developing
## 1401 Senegal 2013 Developing
## 1402 Serbia 2003 Developing
## 1403 Hungary 2007 Developed
## 1404 Republic of Moldova 2011 Developing
## 1405 Comoros 2015 Developing
## 1406 Gabon 2003 Developing
## 1407 Sierra Leone 2009 Developing
## 1408 Zambia 2008 Developing
## 1409 Kyrgyzstan 2005 Developing
## 1410 Lebanon 2002 Developing
## 1411 United Arab Emirates 2012 Developing
## 1412 Trinidad and Tobago 2007 Developing
## 1413 South Africa 2011 Developing
## 1414 Tajikistan 2005 Developing
## 1415 United Arab Emirates 2014 Developing
## 1416 Saint Vincent and the Grenadines 2003 Developing
## 1417 Bosnia and Herzegovina 2007 Developing
## 1418 Malawi 2007 Developing
## 1419 Costa Rica 2007 Developing
## 1420 Pakistan 2004 Developing
## 1421 France 2003 Developing
## 1422 Malta 2009 Developed
## 1423 Portugal 2001 Developed
## 1424 Australia 2004 Developed
## 1425 Lebanon 2000 Developing
## 1426 Kyrgyzstan 2000 Developing
## 1427 Togo 2015 Developing
## 1428 Eritrea 2007 Developing
## 1429 Sao Tome and Principe 2002 Developing
## 1430 Jamaica 2007 Developing
## 1431 Burkina Faso 2004 Developing
## 1432 Syrian Arab Republic 2010 Developing
## 1433 Portugal 2014 Developed
## 1434 Solomon Islands 2000 Developing
## 1435 Japan 2006 Developed
## 1436 Bahrain 2002 Developing
## 1437 Germany 2000 Developed
## 1438 Saudi Arabia 2009 Developing
## 1439 Democratic Republic of the Congo 2001 Developing
## 1440 Saint Vincent and the Grenadines 2004 Developing
## 1441 Brazil 2006 Developing
## 1442 Mexico 2012 Developing
## 1443 Republic of Korea 2004 Developing
## 1444 Italy 2015 Developed
## 1445 Ethiopia 2012 Developing
## 1446 Mongolia 2003 Developing
## 1447 Bolivia (Plurinational State of) 2003 Developing
## 1448 Kenya 2003 Developing
## 1449 Jordan 2004 Developing
## 1450 Democratic People's Republic of Korea 2014 Developing
## 1451 Spain 2000 Developed
## 1452 Bahrain 2004 Developing
## 1453 Serbia 2002 Developing
## 1454 Zambia 2010 Developing
## 1455 Timor-Leste 2013 Developing
## 1456 Kuwait 2012 Developing
## 1457 Denmark 2008 Developed
## 1458 Jordan 2015 Developing
## 1459 Chad 2001 Developing
## 1460 Ireland 2012 Developed
## 1461 Equatorial Guinea 2005 Developing
## 1462 Saudi Arabia 2004 Developing
## 1463 Czechia 2008 Developed
## 1464 Bolivia (Plurinational State of) 2013 Developing
## 1465 New Zealand 2000 Developed
## 1466 Niue 2013 Developing
## 1467 Finland 2010 Developing
## 1468 Oman 2010 Developing
## 1469 Greece 2006 Developing
## 1470 Ethiopia 2015 Developing
## 1471 Malta 2005 Developed
## 1472 Barbados 2004 Developing
## 1473 South Africa 2008 Developing
## 1474 Cabo Verde 2000 Developing
## 1475 Bosnia and Herzegovina 2014 Developing
## 1476 Mongolia 2008 Developing
## 1477 Malaysia 2004 Developing
## 1478 Armenia 2009 Developing
## 1479 Tonga 2010 Developing
## 1480 Republic of Moldova 2003 Developing
## 1481 Vanuatu 2014 Developing
## 1482 Madagascar 2003 Developing
## 1483 Mongolia 2015 Developing
## 1484 Sudan 2008 Developing
## 1485 Georgia 2015 Developing
## 1486 Liberia 2001 Developing
## 1487 Grenada 2008 Developing
## 1488 Morocco 2000 Developing
## 1489 Japan 2012 Developed
## 1490 Guatemala 2012 Developing
## 1491 Democratic Republic of the Congo 2006 Developing
## 1492 Mozambique 2003 Developing
## 1493 Thailand 2010 Developing
## 1494 Romania 2002 Developed
## 1495 El Salvador 2012 Developing
## 1496 Latvia 2007 Developed
## 1497 Pakistan 2005 Developing
## 1498 Sweden 2003 Developed
## 1499 Algeria 2015 Developing
## 1500 Egypt 2012 Developing
## 1501 Libya 2002 Developing
## 1502 Lesotho 2002 Developing
## 1503 Chad 2006 Developing
## 1504 Saint Vincent and the Grenadines 2001 Developing
## 1505 Mexico 2006 Developing
## 1506 Egypt 2013 Developing
## 1507 Liberia 2000 Developing
## 1508 Honduras 2007 Developing
## 1509 Oman 2011 Developing
## 1510 Algeria 2012 Developing
## 1511 Malaysia 2008 Developing
## 1512 Antigua and Barbuda 2012 Developing
## 1513 Jamaica 2006 Developing
## 1514 Côte d'Ivoire 2008 Developing
## 1515 Somalia 2010 Developing
## 1516 China 2009 Developing
## 1517 Bahamas 2012 Developing
## 1518 Botswana 2001 Developing
## 1519 Lebanon 2015 Developing
## 1520 Afghanistan 2005 Developing
## 1521 Iraq 2010 Developing
## 1522 Republic of Moldova 2009 Developing
## 1523 Mongolia 2013 Developing
## 1524 Somalia 2007 Developing
## 1525 Singapore 2007 Developed
## 1526 Thailand 2007 Developing
## 1527 Mozambique 2007 Developing
## 1528 Fiji 2014 Developing
## 1529 Colombia 2010 Developing
## 1530 Republic of Korea 2012 Developing
## 1531 Ghana 2006 Developing
## 1532 Congo 2010 Developing
## 1533 Mauritania 2004 Developing
## 1534 Nicaragua 2005 Developing
## 1535 Argentina 2004 Developing
## 1536 Ethiopia 2010 Developing
## 1537 Chile 2000 Developing
## 1538 Tonga 2001 Developing
## 1539 Equatorial Guinea 2009 Developing
## 1540 Belize 2009 Developing
## 1541 Bahrain 2013 Developing
## 1542 Maldives 2002 Developing
## 1543 Germany 2008 Developed
## 1544 Equatorial Guinea 2000 Developing
## 1545 Tajikistan 2004 Developing
## 1546 Ghana 2010 Developing
## 1547 Mali 2014 Developing
## 1548 Spain 2015 Developed
## 1549 Greece 2002 Developing
## 1550 Brunei Darussalam 2004 Developing
## 1551 United Kingdom of Great Britain and Northern Ireland 2014 Developed
## 1552 Lao People's Democratic Republic 2010 Developing
## 1553 Canada 2015 Developing
## 1554 Vanuatu 2005 Developing
## 1555 Bosnia and Herzegovina 2011 Developing
## 1556 Trinidad and Tobago 2001 Developing
## 1557 Guinea-Bissau 2015 Developing
## 1558 Guinea-Bissau 2012 Developing
## 1559 Somalia 2012 Developing
## 1560 Denmark 2006 Developed
## 1561 Czechia 2003 Developed
## 1562 Kenya 2001 Developing
## 1563 Colombia 2009 Developing
## 1564 Germany 2013 Developed
## 1565 Afghanistan 2009 Developing
## 1566 Mexico 2014 Developing
## 1567 Greece 2005 Developing
## 1568 Eritrea 2014 Developing
## 1569 Senegal 2004 Developing
## 1570 Belgium 2011 Developed
## 1571 Democratic Republic of the Congo 2005 Developing
## 1572 Philippines 2012 Developing
## 1573 Turkmenistan 2003 Developing
## 1574 Belgium 2009 Developed
## 1575 Nepal 2010 Developing
## 1576 Slovakia 2009 Developed
## 1577 Grenada 2000 Developing
## 1578 Morocco 2008 Developing
## 1579 Fiji 2004 Developing
## 1580 Equatorial Guinea 2008 Developing
## 1581 United States of America 2009 Developed
## 1582 United Kingdom of Great Britain and Northern Ireland 2007 Developed
## 1583 Samoa 2014 Developing
## 1584 Slovenia 2009 Developed
## 1585 Togo 2010 Developing
## 1586 Bangladesh 2014 Developing
## 1587 Iceland 2013 Developed
## 1588 Austria 2008 Developed
## 1589 Bhutan 2015 Developing
## 1590 Russian Federation 2001 Developing
## 1591 Paraguay 2010 Developing
## 1592 Timor-Leste 2005 Developing
## 1593 Lesotho 2011 Developing
## 1594 Uruguay 2002 Developing
## 1595 Bahamas 2009 Developing
## 1596 Sierra Leone 2010 Developing
## 1597 Luxembourg 2013 Developed
## 1598 Serbia 2011 Developing
## 1599 Uganda 2003 Developing
## 1600 Rwanda 2012 Developing
## 1601 Cuba 2010 Developing
## 1602 Tonga 2007 Developing
## 1603 Azerbaijan 2013 Developing
## 1604 Ukraine 2000 Developing
## 1605 Ethiopia 2008 Developing
## 1606 Yemen 2008 Developing
## 1607 Brunei Darussalam 2015 Developing
## 1608 Uruguay 2009 Developing
## 1609 Chile 2002 Developing
## 1610 United Kingdom of Great Britain and Northern Ireland 2000 Developed
## 1611 Venezuela (Bolivarian Republic of) 2015 Developing
## 1612 Vanuatu 2013 Developing
## 1613 Thailand 2014 Developing
## 1614 Botswana 2010 Developing
## 1615 Mali 2001 Developing
## 1616 Monaco 2013 Developing
## 1617 The former Yugoslav republic of Macedonia 2002 Developing
## 1618 Haiti 2012 Developing
## 1619 Cabo Verde 2004 Developing
## 1620 Vanuatu 2009 Developing
## 1621 Yemen 2007 Developing
## 1622 Republic of Korea 2005 Developing
## 1623 Mauritius 2007 Developing
## 1624 Albania 2007 Developing
## 1625 France 2009 Developing
## 1626 Philippines 2010 Developing
## 1627 Singapore 2014 Developed
## 1628 Togo 2014 Developing
## 1629 Libya 2007 Developing
## 1630 Israel 2002 Developing
## 1631 Saint Kitts and Nevis 2013 Developing
## 1632 Burundi 2015 Developing
## 1633 Belize 2001 Developing
## 1634 Kazakhstan 2002 Developing
## 1635 Turkmenistan 2004 Developing
## 1636 Benin 2007 Developing
## 1637 United Kingdom of Great Britain and Northern Ireland 2009 Developed
## 1638 Tajikistan 2008 Developing
## 1639 Japan 2009 Developed
## 1640 Peru 2014 Developing
## 1641 Slovenia 2014 Developed
## 1642 United Republic of Tanzania 2012 Developing
## 1643 Congo 2003 Developing
## 1644 Venezuela (Bolivarian Republic of) 2010 Developing
## 1645 Republic of Moldova 2000 Developing
## 1646 Djibouti 2003 Developing
## 1647 Bahrain 2011 Developing
## 1648 Saint Lucia 2004 Developing
## 1649 Eritrea 2015 Developing
## 1650 Grenada 2003 Developing
## 1651 The former Yugoslav republic of Macedonia 2010 Developing
## 1652 Slovakia 2002 Developed
## 1653 Viet Nam 2004 Developing
## 1654 Equatorial Guinea 2010 Developing
## 1655 Canada 2000 Developing
## 1656 Mauritania 2013 Developing
## 1657 China 2008 Developing
## 1658 Namibia 2010 Developing
## 1659 The former Yugoslav republic of Macedonia 2006 Developing
## 1660 Antigua and Barbuda 2008 Developing
## 1661 Latvia 2004 Developed
## 1662 Namibia 2000 Developing
## 1663 Cuba 2009 Developing
## 1664 Congo 2008 Developing
## 1665 Algeria 2008 Developing
## 1666 Ethiopia 2000 Developing
## 1667 Solomon Islands 2004 Developing
## 1668 Italy 2005 Developed
## 1669 Senegal 2000 Developing
## 1670 Costa Rica 2001 Developing
## 1671 Uganda 2005 Developing
## 1672 Mozambique 2014 Developing
## 1673 Venezuela (Bolivarian Republic of) 2002 Developing
## 1674 Mauritania 2000 Developing
## 1675 Australia 2006 Developed
## 1676 Lithuania 2009 Developed
## 1677 Serbia 2000 Developing
## 1678 Benin 2005 Developing
## 1679 Austria 2004 Developed
## 1680 Gambia 2003 Developing
## 1681 Trinidad and Tobago 2004 Developing
## 1682 Myanmar 2013 Developing
## 1683 Croatia 2002 Developed
## 1684 Namibia 2008 Developing
## 1685 Georgia 2007 Developing
## 1686 Ecuador 2000 Developing
## 1687 Egypt 2007 Developing
## 1688 China 2005 Developing
## 1689 Morocco 2007 Developing
## 1690 Hungary 2002 Developed
## 1691 Angola 2000 Developing
## 1692 Viet Nam 2003 Developing
## 1693 Congo 2001 Developing
## 1694 Bhutan 2004 Developing
## 1695 Turkmenistan 2007 Developing
## 1696 Gambia 2009 Developing
## 1697 Sri Lanka 2008 Developing
## 1698 Portugal 2003 Developed
## 1699 Gambia 2013 Developing
## 1700 Seychelles 2005 Developing
## 1701 Libya 2012 Developing
## 1702 Barbados 2014 Developing
## 1703 Fiji 2012 Developing
## 1704 Armenia 2008 Developing
## 1705 Cameroon 2005 Developing
## 1706 Belgium 2004 Developed
## 1707 United States of America 2013 Developed
## 1708 Cyprus 2000 Developed
## 1709 Turkmenistan 2001 Developing
## 1710 Ireland 2003 Developed
## 1711 Guyana 2012 Developing
## 1712 Viet Nam 2014 Developing
## 1713 Hungary 2004 Developed
## 1714 Denmark 2005 Developed
## 1715 The former Yugoslav republic of Macedonia 2004 Developing
## 1716 Niger 2002 Developing
## 1717 Poland 2000 Developed
## 1718 Tunisia 2012 Developing
## 1719 Australia 2007 Developed
## 1720 Morocco 2010 Developing
## 1721 Gambia 2012 Developing
## 1722 Sao Tome and Principe 2005 Developing
## 1723 Nepal 2011 Developing
## 1724 Sierra Leone 2013 Developing
## 1725 Bhutan 2009 Developing
## 1726 Sudan 2015 Developing
## 1727 Yemen 2000 Developing
## 1728 Senegal 2003 Developing
## 1729 Central African Republic 2006 Developing
## 1730 Ukraine 2009 Developing
## 1731 Norway 2005 Developed
## 1732 Australia 2013 Developed
## 1733 Republic of Korea 2008 Developing
## 1734 Chad 2002 Developing
## 1735 Singapore 2005 Developed
## 1736 United Arab Emirates 2000 Developing
## 1737 Denmark 2002 Developed
## 1738 Luxembourg 2014 Developed
## 1739 Belize 2006 Developing
## 1740 Democratic People's Republic of Korea 2013 Developing
## 1741 Saudi Arabia 2006 Developing
## 1742 Croatia 2010 Developed
## 1743 Slovenia 2001 Developed
## 1744 Costa Rica 2011 Developing
## 1745 Senegal 2001 Developing
## 1746 Ireland 2009 Developed
## 1747 Turkmenistan 2015 Developing
## 1748 Uganda 2007 Developing
## 1749 Sao Tome and Principe 2012 Developing
## 1750 Poland 2012 Developed
## 1751 Cameroon 2007 Developing
## 1752 Bahamas 2000 Developing
## 1753 Panama 2013 Developing
## 1754 Lebanon 2006 Developing
## 1755 Brazil 2003 Developing
## 1756 Uganda 2013 Developing
## 1757 Somalia 2005 Developing
## 1758 Lesotho 2007 Developing
## 1759 Tunisia 2005 Developing
## 1760 Angola 2003 Developing
## 1761 Maldives 2008 Developing
## 1762 France 2001 Developing
## 1763 Venezuela (Bolivarian Republic of) 2005 Developing
## 1764 Jordan 2006 Developing
## 1765 Romania 2010 Developed
## 1766 Singapore 2013 Developed
## 1767 Netherlands 2006 Developed
## 1768 Honduras 2014 Developing
## 1769 Tajikistan 2006 Developing
## 1770 Lao People's Democratic Republic 2009 Developing
## 1771 Lithuania 2002 Developed
## 1772 Cabo Verde 2009 Developing
## 1773 Cambodia 2005 Developing
## 1774 Central African Republic 2003 Developing
## 1775 Qatar 2009 Developing
## 1776 Niger 2009 Developing
## 1777 New Zealand 2001 Developed
## 1778 Bulgaria 2004 Developed
## 1779 Morocco 2014 Developing
## 1780 Burundi 2001 Developing
## 1781 Belize 2010 Developing
## 1782 Mauritius 2005 Developing
## 1783 Benin 2006 Developing
## 1784 Ukraine 2014 Developing
## 1785 Estonia 2007 Developing
## 1786 Nicaragua 2000 Developing
## 1787 Equatorial Guinea 2006 Developing
## 1788 Iraq 2014 Developing
## 1789 Benin 2008 Developing
## 1790 United Kingdom of Great Britain and Northern Ireland 2001 Developed
## 1791 United Kingdom of Great Britain and Northern Ireland 2008 Developed
## 1792 Papua New Guinea 2011 Developing
## 1793 Antigua and Barbuda 2006 Developing
## 1794 Azerbaijan 2004 Developing
## 1795 New Zealand 2011 Developed
## 1796 Sao Tome and Principe 2003 Developing
## 1797 Morocco 2009 Developing
## 1798 Japan 2001 Developed
## 1799 Democratic Republic of the Congo 2004 Developing
## 1800 Niger 2013 Developing
## 1801 Comoros 2010 Developing
## 1802 Mauritius 2000 Developing
## 1803 Lebanon 2011 Developing
## 1804 Nicaragua 2009 Developing
## 1805 Gambia 2008 Developing
## 1806 Gambia 2007 Developing
## 1807 Germany 2009 Developed
## 1808 Papua New Guinea 2002 Developing
## 1809 Guinea 2004 Developing
## 1810 Costa Rica 2005 Developing
## 1811 Myanmar 2010 Developing
## 1812 United States of America 2004 Developed
## 1813 Germany 2002 Developed
## 1814 Saudi Arabia 2008 Developing
## 1815 Grenada 2005 Developing
## 1816 Honduras 2006 Developing
## 1817 Cambodia 2008 Developing
## 1818 Afghanistan 2011 Developing
## 1819 Gabon 2000 Developing
## 1820 Malta 2008 Developed
## 1821 Egypt 2003 Developing
## 1822 Peru 2007 Developing
## 1823 Paraguay 2006 Developing
## 1824 Bahrain 2000 Developing
## 1825 Tajikistan 2011 Developing
## 1826 Viet Nam 2013 Developing
## 1827 Mexico 2011 Developing
## 1828 Malaysia 2011 Developing
## 1829 Lithuania 2014 Developed
## 1830 Mauritius 2003 Developing
## 1831 Lao People's Democratic Republic 2003 Developing
## 1832 Russian Federation 2015 Developing
## 1833 Benin 2013 Developing
## 1834 Jordan 2011 Developing
## 1835 Madagascar 2012 Developing
## 1836 Solomon Islands 2002 Developing
## 1837 Namibia 2003 Developing
## 1838 Somalia 2006 Developing
## 1839 El Salvador 2007 Developing
## 1840 Samoa 2002 Developing
## 1841 Colombia 2007 Developing
## 1842 Dominican Republic 2001 Developing
## 1843 Italy 2001 Developed
## 1844 Portugal 2000 Developed
## 1845 Japan 2013 Developed
## 1846 Eritrea 2003 Developing
## 1847 Gabon 2013 Developing
## 1848 Montenegro 2002 Developing
## 1849 Botswana 2012 Developing
## 1850 China 2007 Developing
## 1851 Netherlands 2015 Developed
## 1852 Cyprus 2014 Developed
## 1853 Austria 2011 Developed
## 1854 Slovakia 2003 Developed
## 1855 Thailand 2002 Developing
## 1856 Guatemala 2013 Developing
## 1857 Cuba 2007 Developing
## 1858 Kenya 2002 Developing
## 1859 Brazil 2001 Developing
## 1860 Bahrain 2008 Developing
## 1861 Cambodia 2010 Developing
## 1862 New Zealand 2004 Developed
## 1863 Saint Vincent and the Grenadines 2009 Developing
## 1864 Dominican Republic 2009 Developing
## 1865 United Arab Emirates 2007 Developing
## 1866 Brazil 2007 Developing
## 1867 Malawi 2006 Developing
## 1868 Gambia 2002 Developing
## 1869 Suriname 2013 Developing
## 1870 Belarus 2009 Developing
## 1871 Malawi 2011 Developing
## 1872 Turkey 2007 Developing
## 1873 Turkey 2002 Developing
## 1874 Colombia 2002 Developing
## 1875 Lithuania 2012 Developed
## 1876 Rwanda 2005 Developing
## 1877 Kazakhstan 2001 Developing
## 1878 Germany 2015 Developed
## 1879 Sudan 2006 Developing
## 1880 El Salvador 2002 Developing
## 1881 Spain 2010 Developed
## 1882 Montenegro 2003 Developing
## 1883 United States of America 2007 Developed
## 1884 Zambia 2000 Developing
## 1885 Costa Rica 2012 Developing
## 1886 United Kingdom of Great Britain and Northern Ireland 2010 Developed
## 1887 Pakistan 2007 Developing
## 1888 Jamaica 2002 Developing
## 1889 Viet Nam 2006 Developing
## 1890 Timor-Leste 2008 Developing
## 1891 Equatorial Guinea 2001 Developing
## 1892 Iran (Islamic Republic of) 2009 Developing
## 1893 Namibia 2007 Developing
## 1894 Libya 2008 Developing
## 1895 Cabo Verde 2010 Developing
## 1896 Ghana 2004 Developing
## 1897 Uganda 2006 Developing
## 1898 Benin 2004 Developing
## 1899 Guinea 2001 Developing
## 1900 Uganda 2011 Developing
## 1901 Turkey 2012 Developing
## 1902 Poland 2006 Developed
## 1903 South Sudan 2013 Developing
## 1904 Saint Lucia 2011 Developing
## 1905 Central African Republic 2014 Developing
## 1906 Kazakhstan 2009 Developing
## 1907 Fiji 2011 Developing
## 1908 Niger 2005 Developing
## 1909 Spain 2006 Developed
## 1910 Trinidad and Tobago 2002 Developing
## 1911 New Zealand 2013 Developed
## 1912 Norway 2013 Developed
## 1913 Brunei Darussalam 2014 Developing
## 1914 Zimbabwe 2003 Developing
## 1915 United Republic of Tanzania 2006 Developing
## 1916 Lesotho 2006 Developing
## 1917 New Zealand 2012 Developed
## 1918 Swaziland 2005 Developing
## 1919 Angola 2001 Developing
## 1920 Czechia 2015 Developed
## 1921 Senegal 2014 Developing
## 1922 Libya 2011 Developing
## 1923 Yemen 2011 Developing
## 1924 Somalia 2013 Developing
## 1925 France 2002 Developing
## 1926 Czechia 2006 Developed
## 1927 Viet Nam 2007 Developing
## 1928 Switzerland 2000 Developed
## 1929 Samoa 2009 Developing
## 1930 Brunei Darussalam 2003 Developing
## 1931 Spain 2008 Developed
## 1932 Slovakia 2001 Developed
## 1933 Australia 2000 Developed
## 1934 Austria 2013 Developed
## 1935 Algeria 2014 Developing
## 1936 Armenia 2013 Developing
## 1937 Djibouti 2000 Developing
## 1938 Costa Rica 2006 Developing
## 1939 France 2010 Developing
## 1940 Côte d'Ivoire 2006 Developing
## 1941 United States of America 2002 Developed
## 1942 Argentina 2000 Developing
## 1943 Dominican Republic 2012 Developing
## 1944 Indonesia 2000 Developing
## 1945 Malawi 2009 Developing
## 1946 Italy 2000 Developed
## 1947 Malaysia 2007 Developing
## 1948 United Arab Emirates 2002 Developing
## 1949 Azerbaijan 2014 Developing
## 1950 Georgia 2010 Developing
## 1951 Brunei Darussalam 2009 Developing
## 1952 Samoa 2004 Developing
## 1953 Eritrea 2005 Developing
## 1954 Papua New Guinea 2013 Developing
## 1955 Mauritius 2012 Developing
## 1956 Zambia 2003 Developing
## 1957 Nigeria 2013 Developing
## 1958 Kyrgyzstan 2002 Developing
## 1959 Trinidad and Tobago 2009 Developing
## 1960 Montenegro 2011 Developing
## 1961 Ecuador 2006 Developing
## 1962 Switzerland 2009 Developed
## 1963 Tunisia 2007 Developing
## 1964 Albania 2011 Developing
## 1965 Greece 2009 Developing
## 1966 Uzbekistan 2007 Developing
## 1967 Zimbabwe 2006 Developing
## 1968 Ecuador 2014 Developing
## 1969 Bahamas 2007 Developing
## 1970 Montenegro 2014 Developing
## 1971 Estonia 2008 Developing
## 1972 Iceland 2015 Developed
## 1973 Somalia 2001 Developing
## 1974 Ghana 2002 Developing
## 1975 Argentina 2014 Developing
## 1976 Djibouti 2006 Developing
## 1977 Jordan 2008 Developing
## 1978 Ireland 2014 Developed
## 1979 Kyrgyzstan 2007 Developing
## 1980 Kenya 2011 Developing
## 1981 Belgium 2012 Developed
## 1982 Czechia 2010 Developed
## 1983 Nepal 2004 Developing
## 1984 Fiji 2003 Developing
## 1985 Ireland 2011 Developed
## 1986 Slovenia 2005 Developed
## 1987 Belarus 2014 Developing
## 1988 The former Yugoslav republic of Macedonia 2013 Developing
## 1989 Malta 2010 Developed
## 1990 Democratic Republic of the Congo 2013 Developing
## 1991 Romania 2005 Developed
## 1992 Lithuania 2005 Developed
## 1993 Zimbabwe 2015 Developing
## 1994 Honduras 2003 Developing
## 1995 Egypt 2009 Developing
## 1996 Democratic Republic of the Congo 2002 Developing
## 1997 Lebanon 2008 Developing
## 1998 Latvia 2015 Developed
## 1999 Antigua and Barbuda 2015 Developing
## 2000 Kazakhstan 2003 Developing
## 2001 Morocco 2001 Developing
## 2002 Cameroon 2008 Developing
## 2003 Mozambique 2001 Developing
## 2004 Peru 2009 Developing
## 2005 Venezuela (Bolivarian Republic of) 2008 Developing
## 2006 Bosnia and Herzegovina 2000 Developing
## 2007 Kenya 2004 Developing
## 2008 Hungary 2011 Developed
## 2009 Ukraine 2007 Developing
## 2010 Estonia 2001 Developing
## 2011 Tunisia 2011 Developing
## 2012 Sri Lanka 2004 Developing
## 2013 Syrian Arab Republic 2003 Developing
## 2014 Lao People's Democratic Republic 2001 Developing
## 2015 Haiti 2005 Developing
## 2016 Singapore 2011 Developed
## 2017 Germany 2001 Developed
## 2018 The former Yugoslav republic of Macedonia 2012 Developing
## 2019 Iceland 2001 Developed
## 2020 Comoros 2011 Developing
## 2021 Fiji 2005 Developing
## 2022 Suriname 2005 Developing
## 2023 Serbia 2007 Developing
## 2024 Singapore 2006 Developed
## 2025 Mozambique 2012 Developing
## 2026 Peru 2003 Developing
## 2027 Australia 2003 Developed
## 2028 Sao Tome and Principe 2014 Developing
## 2029 Japan 2007 Developed
## 2030 Pakistan 2001 Developing
## 2031 Iceland 2005 Developed
## 2032 Somalia 2004 Developing
## 2033 Democratic People's Republic of Korea 2007 Developing
## 2034 Micronesia (Federated States of) 2014 Developing
## 2035 Central African Republic 2015 Developing
## 2036 Guatemala 2003 Developing
## 2037 Mongolia 2002 Developing
## 2038 Libya 2001 Developing
## 2039 Yemen 2010 Developing
## 2040 Canada 2004 Developing
## 2041 Oman 2012 Developing
## 2042 Gabon 2007 Developing
## 2043 Mali 2011 Developing
## 2044 Jordan 2003 Developing
## 2045 Guyana 2008 Developing
## 2046 Nepal 2012 Developing
## 2047 Papua New Guinea 2010 Developing
## 2048 Angola 2005 Developing
## 2049 Republic of Korea 2011 Developing
## 2050 Niger 2011 Developing
## 2051 Micronesia (Federated States of) 2011 Developing
## 2052 Bahrain 2005 Developing
## 2053 Honduras 2009 Developing
## 2054 Botswana 2011 Developing
## 2055 Kiribati 2005 Developing
## 2056 Honduras 2013 Developing
## 2057 Samoa 2012 Developing
## 2058 Djibouti 2007 Developing
## 2059 Botswana 2007 Developing
## 2060 Sao Tome and Principe 2009 Developing
## 2061 Iraq 2006 Developing
## 2062 Comoros 2012 Developing
## 2063 Guinea 2005 Developing
## 2064 Sierra Leone 2005 Developing
## 2065 Republic of Moldova 2006 Developing
## 2066 Libya 2006 Developing
## 2067 Mali 2003 Developing
## 2068 Switzerland 2001 Developed
## 2069 Sweden 2013 Developed
## 2070 Kenya 2000 Developing
## 2071 Guyana 2015 Developing
## 2072 Lao People's Democratic Republic 2012 Developing
## 2073 Hungary 2000 Developed
## 2074 Mexico 2013 Developing
## 2075 Brazil 2004 Developing
## 2076 Kazakhstan 2014 Developing
## 2077 Lesotho 2012 Developing
## 2078 Switzerland 2005 Developed
## 2079 Pakistan 2014 Developing
## 2080 Brazil 2009 Developing
## 2081 Israel 2009 Developing
## 2082 Solomon Islands 2015 Developing
## 2083 Uzbekistan 2013 Developing
## 2084 Iceland 2012 Developed
## 2085 Liberia 2002 Developing
## 2086 Singapore 2003 Developed
## 2087 Cuba 2000 Developing
## 2088 Zambia 2014 Developing
## 2089 Sierra Leone 2001 Developing
## 2090 Ghana 2014 Developing
## 2091 Guinea-Bissau 2000 Developing
## 2092 Iceland 2014 Developed
## 2093 Finland 2003 Developing
## 2094 Argentina 2009 Developing
## 2095 Suriname 2008 Developing
## 2096 Singapore 2000 Developed
## 2097 Lebanon 2004 Developing
## 2098 Ukraine 2002 Developing
## 2099 Sri Lanka 2014 Developing
## 2100 Iceland 2009 Developed
## 2101 Serbia 2009 Developing
## 2102 Nepal 2003 Developing
## 2103 Cameroon 2006 Developing
## 2104 Indonesia 2011 Developing
## 2105 Chad 2013 Developing
## 2106 Germany 2014 Developed
## 2107 Kiribati 2001 Developing
## 2108 Haiti 2000 Developing
## 2109 Bulgaria 2008 Developed
## 2110 Trinidad and Tobago 2012 Developing
## 2111 Democratic Republic of the Congo 2008 Developing
## 2112 Mali 2012 Developing
## 2113 Japan 2010 Developed
## 2114 Paraguay 2009 Developing
## 2115 Indonesia 2001 Developing
## 2116 Czechia 2004 Developed
## 2117 Denmark 2003 Developed
## 2118 Uruguay 2008 Developing
## 2119 Timor-Leste 2002 Developing
## 2120 Nepal 2007 Developing
## 2121 Costa Rica 2010 Developing
## 2122 Saint Lucia 2008 Developing
## 2123 Syrian Arab Republic 2008 Developing
## 2124 Nicaragua 2014 Developing
## 2125 Malaysia 2012 Developing
## 2126 Suriname 2006 Developing
## 2127 Tonga 2006 Developing
## 2128 Kenya 2009 Developing
## 2129 Comoros 2005 Developing
## 2130 Saint Lucia 2003 Developing
## 2131 Albania 2013 Developing
## 2132 Guatemala 2002 Developing
## 2133 Samoa 2011 Developing
## 2134 Zimbabwe 2013 Developing
## 2135 Estonia 2014 Developing
## 2136 Dominican Republic 2002 Developing
## 2137 Tonga 2002 Developing
## 2138 France 2011 Developing
## 2139 Denmark 2013 Developed
## 2140 Sri Lanka 2009 Developing
## 2141 Sri Lanka 2001 Developing
## 2142 Jamaica 2004 Developing
## 2143 Australia 2005 Developed
## 2144 Czechia 2005 Developed
## 2145 Indonesia 2006 Developing
## 2146 Libya 2004 Developing
## 2147 Colombia 2000 Developing
## 2148 Tonga 2000 Developing
## 2149 Oman 2001 Developing
## 2150 Sweden 2011 Developed
## 2151 Netherlands 2011 Developed
## 2152 Cameroon 2011 Developing
## 2153 Latvia 2001 Developed
## 2154 Ecuador 2001 Developing
## 2155 Mauritania 2008 Developing
## 2156 Central African Republic 2009 Developing
## 2157 Guinea-Bissau 2004 Developing
## 2158 Slovakia 2007 Developed
## 2159 Sri Lanka 2015 Developing
## 2160 Uruguay 2005 Developing
## 2161 China 2015 Developing
## 2162 Ethiopia 2004 Developing
## 2163 Belgium 2003 Developed
## 2164 Albania 2003 Developing
## 2165 Micronesia (Federated States of) 2000 Developing
## 2166 Cyprus 2012 Developed
## 2167 Eritrea 2002 Developing
## 2168 Trinidad and Tobago 2006 Developing
## 2169 Solomon Islands 2009 Developing
## 2170 Syrian Arab Republic 2004 Developing
## 2171 Uzbekistan 2014 Developing
## 2172 Portugal 2011 Developed
## 2173 France 2008 Developing
## 2174 Mali 2008 Developing
## 2175 Cabo Verde 2002 Developing
## 2176 New Zealand 2005 Developed
## 2177 Albania 2000 Developing
## 2178 Viet Nam 2011 Developing
## 2179 Argentina 2012 Developing
## 2180 Peru 2000 Developing
## 2181 Republic of Moldova 2001 Developing
## 2182 Guatemala 2005 Developing
## Life.expectancy Adult.Mortality infant.deaths Alcohol
## 1 62.5 243 62 1.77
## 2 81.5 58 0 7.20
## 3 64.7 22 0 5.46
## 4 45.6 58 17 1.47
## 5 71.0 135 104 0.01
## 6 78.7 8 1 9.56
## 7 74.1 151 4 3.11
## 8 81.0 67 0 10.49
## 9 82.2 6 1 2.62
## 10 79.2 81 0 9.56
## 11 77.9 12 1 4.26
## 12 71.2 17 0 NA
## 13 55.0 282 56 0.55
## 14 75.3 92 1 1.79
## 15 62.4 249 37 NA
## 16 65.7 232 1 7.20
## 17 61.7 31 2 8.64
## 18 48.1 652 2 4.90
## 19 66.0 271 41 1.76
## 20 73.7 14 10 4.72
## 21 66.3 198 0 NA
## 22 73.8 137 30 2.03
## 23 77.9 7 0 1.20
## 24 64.3 193 12 0.60
## 25 71.9 199 0 11.84
## 26 73.3 163 0 2.95
## 27 64.2 22 61 0.28
## 28 75.2 11 0 8.74
## 29 73.4 16 0 1.60
## 30 72.6 145 0 1.10
## 31 78.4 93 2 7.57
## 32 53.6 362 490 0.01
## 33 77.4 79 0 0.97
## 34 65.4 228 37 0.01
## 35 72.5 184 1 13.24
## 36 74.4 111 0 1.77
## 37 64.5 293 6 NA
## 38 66.1 232 3 0.01
## 39 68.9 23 0 2.31
## 40 74.5 147 3 3.39
## 41 72.9 15 0 7.84
## 42 69.3 198 9 3.93
## 43 74.0 14 30 0.15
## 44 75.0 161 0 9.19
## 45 74.2 113 0 8.47
## 46 72.6 171 1 3.46
## 47 54.9 355 15 1.01
## 48 75.0 133 2 NA
## 49 72.8 148 16 4.26
## 50 73.1 138 3 0.48
## 51 78.8 88 0 12.20
## 52 59.8 258 236 NA
## 53 73.0 14 6 1.02
## 54 67.9 228 1 0.28
## 55 59.1 251 25 1.40
## 56 45.5 648 5 1.99
## 57 73.8 129 20 0.44
## 58 73.0 19 0 5.26
## 59 70.0 229 14 10.58
## 60 65.1 226 12 2.66
## 61 73.7 16 11 5.88
## 62 75.4 122 1 5.66
## 63 79.3 13 23 NA
## 64 47.1 568 3 6.72
## 65 72.0 153 0 1.79
## 66 87.0 65 0 6.61
## 67 77.0 12 0 11.56
## 68 76.9 79 0 0.88
## 69 44.6 717 28 4.14
## 70 67.3 219 63 4.08
## 71 76.6 84 0 1.18
## 72 53.0 439 16 0.01
## 73 56.7 295 87 0.01
## 74 67.5 225 1 6.71
## 75 66.8 221 68 4.54
## 76 85.0 67 0 6.60
## 77 63.0 252 1 0.38
## 78 71.5 175 5 1.45
## 79 74.0 113 4 0.41
## 80 66.1 218 0 7.49
## 81 79.1 86 3 11.83
## 82 71.1 194 18 5.88
## 83 74.3 138 0 10.28
## 84 72.8 18 0 9.80
## 85 77.7 19 1 4.10
## 86 75.2 138 0 NA
## 87 58.7 32 18 6.10
## 88 52.9 337 35 0.21
## 89 72.7 138 1 NA
## 90 75.2 19 1 0.57
## 91 55.3 316 12 4.19
## 92 57.7 274 27 1.51
## 93 68.0 225 1 12.27
## 94 81.3 61 0 6.21
## 95 73.0 17 3 3.69
## 96 65.9 218 0 7.56
## 97 75.0 162 0 9.34
## 98 59.0 284 26 NA
## 99 65.1 21 0 0.46
## 100 72.9 172 0 0.01
## 101 64.2 275 7 0.01
## 102 55.0 312 50 NA
## 103 78.8 83 4 12.22
## 104 79.9 75 1 9.53
## 105 65.0 242 23 0.33
## 106 78.5 66 0 10.62
## 107 61.6 288 11 0.82
## 108 82.4 78 2 NA
## 109 72.2 185 0 8.12
## 110 53.8 334 3 7.13
## 111 73.9 127 1 8.14
## 112 55.3 394 8 2.03
## 113 76.6 99 1 NA
## 114 63.0 268 21 1.44
## 115 72.7 157 3 6.14
## 116 78.0 132 6 2.10
## 117 NA NA 0 0.01
## 118 81.0 58 0 7.67
## 119 77.0 111 0 5.97
## 120 72.5 146 0 3.97
## 121 73.6 131 0 0.01
## 122 71.6 176 0 NA
## 123 86.0 74 0 7.46
## 124 76.4 94 0 4.54
## 125 63.2 187 371 0.01
## 126 78.3 82 0 13.32
## 127 59.2 296 59 0.30
## 128 63.4 249 54 NA
## 129 73.2 133 1 6.66
## 130 76.2 88 0 0.50
## 131 73.9 128 1 7.17
## 132 81.0 8 0 12.50
## 133 46.4 587 3 5.52
## 134 69.5 15 25 0.46
## 135 44.0 67 46 1.10
## 136 72.4 15 16 4.25
## 137 76.9 115 28 8.25
## 138 73.1 11 9 0.05
## 139 63.2 231 69 0.40
## 140 79.3 6 0 10.80
## 141 52.8 296 58 0.49
## 142 73.5 127 9 0.92
## 143 76.8 114 28 8.21
## 144 54.7 483 3 4.80
## 145 57.5 427 2 6.56
## 146 82.3 54 0 7.30
## 147 44.3 723 27 4.36
## 148 56.0 272 52 0.12
## 149 73.0 188 0 16.58
## 150 71.7 189 15 6.14
## 151 65.4 215 0 4.36
## 152 78.9 91 2 7.33
## 153 71.1 174 4 8.78
## 154 79.7 82 0 11.75
## 155 72.9 112 4 1.21
## 156 82.1 68 3 7.70
## 157 72.2 151 0 1.80
## 158 76.0 139 6 NA
## 159 75.1 12 3 1.39
## 160 75.1 95 1 1.77
## 161 68.7 161 9 3.35
## 162 75.0 229 0 10.40
## 163 76.7 115 1 4.04
## 164 81.0 65 1 2.47
## 165 63.2 23 43 0.09
## 166 74.5 141 3 3.03
## 167 46.0 49 16 1.51
## 168 82.0 61 1 9.35
## 169 58.7 276 42 1.05
## 170 82.3 64 1 NA
## 171 77.8 118 1 NA
## 172 74.9 148 8 NA
## 173 65.0 24 16 2.08
## 174 72.8 17 10 0.05
## 175 72.1 163 3 6.38
## 176 72.5 163 5 3.23
## 177 66.8 221 68 4.42
## 178 39.0 533 29 3.97
## 179 75.1 131 1 6.65
## 180 74.5 88 7 NA
## 181 72.1 129 0 4.25
## 182 69.9 29 3 3.10
## 183 58.4 288 28 0.01
## 184 83.0 86 0 9.81
## 185 62.3 259 34 0.68
## 186 73.0 17 0 0.01
## 187 72.7 171 1 3.89
## 188 75.6 77 0 2.00
## 189 51.6 332 49 4.58
## 190 79.5 96 1 3.45
## 191 86.0 72 3 10.42
## 192 73.9 114 4 0.40
## 193 65.6 2 20 0.28
## 194 72.9 164 6 6.05
## 195 62.8 254 33 0.91
## 196 75.4 89 201 5.74
## 197 74.6 139 7 3.76
## 198 69.4 188 4 3.28
## 199 73.8 159 9 6.71
## 200 57.9 339 64 1.71
## 201 66.6 16 9 0.65
## 202 85.0 66 0 6.50
## 203 48.4 536 3 7.19
## 204 58.2 354 8 2.75
## 205 74.1 152 51 7.58
## 206 58.4 259 25 1.16
## 207 68.5 199 0 4.99
## 208 71.6 135 35 1.42
## 209 62.0 347 42 7.38
## 210 75.6 121 1 NA
## 211 56.9 368 8 2.25
## 212 65.7 256 2 NA
## 213 58.0 526 33 2.25
## 214 48.6 46 45 0.42
## 215 74.5 128 1 5.91
## 216 61.4 288 2 8.01
## 217 66.6 199 39 NA
## 218 75.7 13 36 5.27
## 219 78.0 148 3 0.01
## 220 64.5 235 6 2.40
## 221 74.1 161 0 10.37
## 222 57.3 297 29 0.18
## 223 63.3 248 6 2.85
## 224 71.6 16 0 3.63
## 225 72.6 177 0 9.72
## 226 75.0 127 49 4.77
## 227 55.9 344 14 1.37
## 228 67.3 192 24 1.78
## 229 77.0 174 3 0.01
## 230 82.0 63 1 10.30
## 231 76.3 19 0 12.21
## 232 58.1 29 28 0.22
## 233 74.0 148 32 0.20
## 234 59.7 323 86 4.20
## 235 67.4 159 2 0.01
## 236 68.5 172 0 2.06
## 237 46.0 665 24 1.68
## 238 74.9 156 0 15.04
## 239 62.2 263 1 0.52
## 240 76.5 122 1 6.94
## 241 73.9 126 1 6.18
## 242 53.6 459 2 4.93
## 243 69.0 157 8 3.12
## 244 58.1 329 8 0.01
## 245 73.0 15 35 0.01
## 246 46.4 693 2 5.51
## 247 67.2 217 4 2.62
## 248 54.5 411 94 4.40
## 249 74.3 138 1 12.03
## 250 72.9 182 1 12.94
## 251 78.2 68 0 NA
## 252 59.9 314 11 0.58
## 253 71.0 174 6 2.61
## 254 79.0 169 0 4.17
## 255 64.5 274 2 2.75
## 256 75.0 88 0 1.62
## 257 73.9 87 1 0.10
## 258 67.5 19 0 NA
## 259 73.9 11 1 1.94
## 260 69.4 153 8 3.39
## 261 79.8 75 0 12.66
## 262 59.6 278 69 1.74
## 263 69.3 163 10 0.01
## 264 68.3 237 1 9.66
## 265 72.9 154 3 10.60
## 266 75.0 153 0 1.18
## 267 73.6 12 0 1.75
## 268 83.2 51 0 9.61
## 269 69.3 176 0 1.24
## 270 72.0 198 4 NA
## 271 82.3 57 0 10.01
## 272 75.3 131 7 3.99
## 273 75.2 19 17 1.41
## 274 63.0 242 39 0.04
## 275 72.4 127 4 0.55
## 276 74.0 168 55 0.22
## 277 67.2 21 30 0.32
## 278 73.1 166 1 3.48
## 279 71.0 133 22 0.58
## 280 68.7 223 0 0.01
## 281 70.0 144 30 0.20
## 282 69.2 165 17 NA
## 283 68.2 175 0 1.64
## 284 66.5 238 1 0.16
## 285 59.7 336 7 0.97
## 286 59.6 271 2 0.26
## 287 88.0 64 1 9.33
## 288 78.7 78 0 13.31
## 289 75.8 16 15 NA
## 290 69.4 184 15 NA
## 291 77.0 178 0 9.61
## 292 76.0 119 8 8.28
## 293 45.3 593 7 0.83
## 294 79.7 71 0 1.45
## 295 57.9 38 41 1.53
## 296 74.4 149 0 7.28
## 297 65.1 237 1 7.84
## 298 58.0 383 29 NA
## 299 67.6 2 0 0.99
## 300 53.4 397 26 6.75
## 301 73.5 19 4 1.17
## 302 65.7 24 0 0.01
## 303 78.9 63 0 11.56
## 304 69.4 173 0 1.20
## 305 76.0 84 1 1.73
## 306 74.5 143 3 2.80
## 307 73.9 128 1 4.70
## 308 77.6 119 1 6.74
## 309 79.4 84 2 9.86
## 310 75.3 115 0 6.56
## 311 73.5 15 1 2.19
## 312 63.9 292 9 6.00
## 313 87.0 77 0 11.77
## 314 65.2 233 12 0.01
## 315 83.0 81 0 11.96
## 316 NA NA 0 0.01
## 317 74.2 116 21 1.49
## 318 73.8 145 4 1.96
## 319 71.1 144 0 4.16
## 320 49.3 554 34 2.33
## 321 73.6 14 1 4.25
## 322 64.6 177 369 0.03
## 323 74.6 147 3 NA
## 324 76.0 176 0 6.50
## 325 74.1 138 12 7.81
## 326 54.8 321 88 0.01
## 327 76.8 7 0 1.57
## 328 61.5 24 11 3.69
## 329 73.9 118 23 1.40
## 330 45.7 512 17 1.50
## 331 74.9 97 1 1.29
## 332 79.2 96 0 10.15
## 333 72.4 149 4 0.54
## 334 67.3 158 185 0.01
## 335 51.4 383 29 NA
## 336 81.6 66 2 9.99
## 337 73.2 159 4 3.14
## 338 68.8 183 0 0.01
## 339 69.8 18 0 6.56
## 340 51.6 47 60 4.58
## 341 52.9 279 56 0.11
## 342 65.9 25 44 0.55
## 343 76.3 81 1 1.73
## 344 65.3 288 8 7.44
## 345 61.1 28 17 6.18
## 346 82.0 69 3 7.99
## 347 57.3 295 84 0.03
## 348 74.2 171 0 11.07
## 349 73.7 146 4 2.29
## 350 78.0 146 33 0.01
## 351 89.0 71 0 9.62
## 352 57.4 368 30 2.30
## 353 73.0 132 1 3.81
## 354 58.1 287 80 0.03
## 355 79.6 95 1 NA
## 356 69.4 188 0 6.64
## 357 66.8 215 0 1.18
## 358 55.6 297 5 2.64
## 359 76.7 19 0 NA
## 360 76.3 75 0 1.59
## 361 81.8 59 0 5.97
## 362 82.0 6 2 7.49
## 363 72.0 142 23 0.56
## 364 68.3 152 2 NA
## 365 73.3 136 0 0.01
## 366 65.9 227 31 0.14
## 367 78.0 14 1 4.17
## 368 72.3 134 1 3.74
## 369 73.9 153 4 3.10
## 370 72.7 121 0 0.01
## 371 62.1 298 6 0.61
## 372 65.1 172 372 0.04
## 373 78.5 61 0 NA
## 374 86.0 74 3 10.68
## 375 77.0 14 0 12.19
## 376 71.7 187 10 1.88
## 377 77.4 88 0 14.17
## 378 58.5 39 186 1.06
## 379 62.2 212 8 0.01
## 380 55.2 276 53 0.10
## 381 81.8 7 3 7.87
## 382 52.4 527 29 5.21
## 383 67.3 218 66 4.45
## 384 81.4 55 0 8.49
## 385 75.1 137 7 3.87
## 386 78.0 17 3 0.01
## 387 45.3 686 25 1.72
## 388 68.9 179 119 0.09
## 389 58.7 254 25 1.33
## 390 81.1 74 0 NA
## 391 75.3 1 1 5.61
## 392 58.3 348 88 4.04
## 393 76.4 85 0 0.87
## 394 81.9 7 3 7.83
## 395 73.6 133 0 NA
## 396 78.0 99 0 13.45
## 397 75.4 124 44 4.90
## 398 76.3 93 0 0.67
## 399 79.8 86 2 7.26
## 400 87.0 59 0 6.91
## 401 48.2 632 30 3.56
## 402 79.8 77 2 9.05
## 403 81.4 62 0 7.30
## 404 72.6 157 1 10.89
## 405 74.7 81 0 NA
## 406 77.4 18 1 4.39
## 407 67.2 19 163 0.06
## 408 68.0 27 10 3.87
## 409 74.1 9 8 0.09
## 410 58.1 278 14 5.16
## 411 73.5 91 0 0.02
## 412 76.3 87 0 0.76
## 413 66.0 217 0 7.64
## 414 63.3 238 14 2.20
## 415 74.8 145 2 NA
## 416 61.0 229 7 0.01
## 417 81.3 66 1 10.76
## 418 64.7 23 29 0.87
## 419 67.4 224 0 4.29
## 420 61.3 251 2 0.17
## 421 65.7 224 37 NA
## 422 73.0 12 4 0.60
## 423 72.5 157 3 8.51
## 424 65.6 215 6 2.35
## 425 84.0 75 0 12.10
## 426 55.3 35 23 4.33
## 427 74.2 149 3 7.74
## 428 71.9 199 0 11.64
## 429 77.2 19 1 4.48
## 430 65.4 28 33 0.20
## 431 52.4 335 66 NA
## 432 56.7 32 11 4.05
## 433 71.8 129 92 NA
## 434 61.7 29 1 0.14
## 435 73.9 92 8 0.09
## 436 74.7 9 0 1.95
## 437 55.0 438 2 5.20
## 438 48.3 426 34 7.13
## 439 NA NA 0 0.01
## 440 68.6 177 63 0.14
## 441 68.8 219 1 8.25
## 442 73.8 163 0 10.21
## 443 83.5 57 2 0.01
## 444 74.5 83 1 0.01
## 445 63.8 241 31 0.97
## 446 73.2 137 0 0.01
## 447 56.5 273 54 0.60
## 448 63.5 276 2 8.30
## 449 61.0 246 11 3.68
## 450 76.8 17 0 13.43
## 451 65.2 211 52 0.28
## 452 72.4 138 25 0.02
## 453 61.8 268 1 0.39
## 454 73.0 121 2 2.76
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## 1729 46.3 56 17 1.54
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## 1733 83.0 75 2 9.31
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## 1735 82.0 69 0 1.49
## 1736 74.2 17 1 1.64
## 1737 77.0 14 0 11.34
## 1738 81.7 65 0 11.12
## 1739 69.4 184 0 6.48
## 1740 71.0 146 6 3.35
## 1741 73.2 1 9 0.08
## 1742 76.6 16 0 12.10
## 1743 76.2 124 0 10.80
## 1744 79.0 98 1 3.41
## 1745 57.9 251 26 0.34
## 1746 79.7 77 0 11.41
## 1747 66.3 215 6 NA
## 1748 55.5 41 88 9.65
## 1749 66.9 194 0 0.01
## 1750 76.8 125 2 10.81
## 1751 53.6 395 57 5.44
## 1752 72.6 192 0 12.15
## 1753 77.5 118 1 6.89
## 1754 74.1 1 1 1.82
## 1755 71.8 172 88 6.95
## 1756 67.0 325 71 0.01
## 1757 51.6 334 50 0.01
## 1758 46.2 633 4 2.69
## 1759 74.2 14 3 1.37
## 1760 46.8 388 95 3.49
## 1761 75.9 81 0 1.76
## 1762 79.0 13 3 13.89
## 1763 73.6 158 9 7.92
## 1764 72.8 121 4 0.59
## 1765 73.4 153 2 9.00
## 1766 82.7 57 0 1.83
## 1767 79.8 71 1 9.79
## 1768 74.5 149 3 2.87
## 1769 65.9 183 10 0.38
## 1770 63.1 223 10 5.18
## 1771 71.4 22 0 11.00
## 1772 72.4 124 0 4.45
## 1773 62.9 234 18 1.99
## 1774 45.7 51 17 1.49
## 1775 77.0 79 0 1.11
## 1776 57.1 263 51 0.11
## 1777 78.5 83 0 8.75
## 1778 72.2 157 1 10.96
## 1779 74.1 96 18 0.43
## 1780 51.3 385 25 6.09
## 1781 69.5 186 0 6.76
## 1782 72.1 168 0 3.94
## 1783 56.8 284 25 1.19
## 1784 78.0 23 4 8.06
## 1785 73.0 189 0 17.87
## 1786 73.0 192 4 3.61
## 1787 54.8 337 3 7.28
## 1788 67.9 199 32 0.01
## 1789 57.6 278 25 1.28
## 1790 78.0 88 4 10.91
## 1791 79.6 8 4 11.47
## 1792 62.0 285 10 0.88
## 1793 74.8 145 0 8.93
## 1794 68.4 154 6 0.62
## 1795 86.0 72 0 9.47
## 1796 63.4 225 0 6.54
## 1797 72.3 116 20 0.62
## 1798 81.5 72 4 8.03
## 1799 53.5 323 232 1.44
## 1800 69.0 227 49 0.01
## 1801 61.8 246 2 0.15
## 1802 71.0 177 0 4.60
## 1803 75.0 93 1 1.57
## 1804 73.2 163 3 3.36
## 1805 58.7 287 3 2.79
## 1806 58.5 288 3 2.64
## 1807 80.0 79 2 11.22
## 1808 59.3 327 11 0.61
## 1809 54.0 334 33 0.34
## 1810 78.6 97 1 4.10
## 1811 65.4 29 49 0.30
## 1812 77.5 111 28 8.48
## 1813 78.4 91 3 12.25
## 1814 73.3 98 9 0.09
## 1815 71.5 169 0 8.80
## 1816 72.8 161 5 3.23
## 1817 65.6 199 16 2.24
## 1818 59.2 275 71 0.01
## 1819 61.0 296 2 8.87
## 1820 80.0 64 0 7.14
## 1821 68.6 178 59 0.15
## 1822 74.0 133 11 4.29
## 1823 72.3 161 3 5.61
## 1824 74.5 92 0 2.15
## 1825 68.1 166 10 0.32
## 1826 75.7 129 28 4.00
## 1827 76.1 124 34 5.30
## 1828 74.3 13 3 0.51
## 1829 73.4 169 0 15.19
## 1830 71.5 174 0 4.08
## 1831 59.8 259 12 3.41
## 1832 75.0 222 13 NA
## 1833 59.5 251 25 0.01
## 1834 73.6 116 4 0.43
## 1835 64.3 235 30 0.87
## 1836 66.5 22 0 1.08
## 1837 55.0 471 3 5.28
## 1838 51.5 337 51 0.01
## 1839 71.2 23 2 2.83
## 1840 76.0 174 0 3.30
## 1841 73.5 144 14 4.66
## 1842 71.2 188 7 6.13
## 1843 79.8 75 2 9.69
## 1844 76.6 11 1 11.89
## 1845 83.5 56 2 7.55
## 1846 58.8 343 7 0.56
## 1847 64.6 255 2 8.86
## 1848 73.4 136 0 0.01
## 1849 63.4 3 2 0.01
## 1850 74.4 96 285 3.88
## 1851 81.9 57 1 NA
## 1852 83.0 53 0 0.01
## 1853 88.0 73 0 12.04
## 1854 73.8 144 0 9.85
## 1855 71.4 192 16 5.93
## 1856 71.4 189 11 1.93
## 1857 78.1 14 1 4.13
## 1858 52.1 437 76 1.66
## 1859 71.0 179 103 7.13
## 1860 75.8 76 0 2.00
## 1861 66.6 192 14 2.20
## 1862 79.2 79 0 9.15
## 1863 72.3 165 0 6.85
## 1864 73.6 157 6 6.05
## 1865 75.6 87 1 1.69
## 1866 73.3 159 65 7.19
## 1867 47.1 587 38 1.18
## 1868 56.6 298 3 2.08
## 1869 71.2 179 0 6.02
## 1870 70.0 226 0 14.09
## 1871 54.1 441 32 1.23
## 1872 73.2 124 26 1.26
## 1873 71.2 138 38 1.47
## 1874 71.8 163 17 4.45
## 1875 73.0 176 0 15.14
## 1876 55.3 37 24 7.01
## 1877 64.4 284 8 5.75
## 1878 81.0 68 2 NA
## 1879 61.0 26 66 1.90
## 1880 73.0 24 3 2.97
## 1881 81.9 64 1 9.78
## 1882 73.5 134 0 0.01
## 1883 78.1 11 27 8.74
## 1884 43.8 614 44 2.62
## 1885 79.2 97 1 3.34
## 1886 82.0 77 3 10.88
## 1887 64.4 178 367 0.03
## 1888 73.0 167 1 3.76
## 1889 74.6 136 28 2.56
## 1890 66.2 168 2 0.06
## 1891 53.1 334 3 5.07
## 1892 73.3 122 23 0.03
## 1893 60.0 356 3 5.12
## 1894 72.6 132 2 0.01
## 1895 72.5 123 0 4.75
## 1896 58.3 34 41 1.46
## 1897 54.9 41 93 9.81
## 1898 56.1 285 25 1.15
## 1899 52.5 336 36 0.17
## 1900 59.3 347 76 10.22
## 1901 74.8 112 19 1.54
## 1902 75.2 144 2 10.40
## 1903 56.4 345 26 NA
## 1904 74.6 143 0 10.43
## 1905 58.0 437 15 0.01
## 1906 67.8 235 7 6.64
## 1907 69.2 197 0 0.01
## 1908 53.7 278 55 0.11
## 1909 88.0 73 2 11.86
## 1910 69.2 192 0 5.12
## 1911 81.3 69 0 9.18
## 1912 81.5 62 0 6.21
## 1913 77.6 8 0 0.01
## 1914 44.5 715 26 4.06
## 1915 53.1 437 96 4.07
## 1916 45.3 654 5 2.61
## 1917 81.1 7 0 9.20
## 1918 46.0 63 3 5.08
## 1919 45.7 44 97 2.58
## 1920 78.8 86 0 NA
## 1921 66.4 192 19 0.26
## 1922 71.3 161 2 0.01
## 1923 64.6 234 35 0.04
## 1924 54.2 318 51 0.01
## 1925 79.2 11 3 13.78
## 1926 76.5 19 0 13.03
## 1927 74.7 136 28 3.01
## 1928 79.7 78 0 11.26
## 1929 76.0 172 0 2.88
## 1930 76.0 89 0 0.12
## 1931 81.3 7 2 10.24
## 1932 73.3 145 0 10.73
## 1933 79.5 78 1 10.17
## 1934 81.1 68 0 11.82
## 1935 75.4 11 21 0.01
## 1936 74.4 123 1 3.79
## 1937 57.4 325 2 1.34
## 1938 78.0 16 1 4.15
## 1939 81.3 86 3 11.70
## 1940 49.4 452 62 2.65
## 1941 77.0 115 28 8.33
## 1942 74.1 137 12 7.68
## 1943 72.1 174 6 5.93
## 1944 66.3 188 187 0.06
## 1945 51.5 491 36 1.16
## 1946 79.4 77 3 9.78
## 1947 73.7 133 3 0.43
## 1948 74.7 11 1 1.72
## 1949 72.5 119 5 0.01
## 1950 73.8 132 1 7.24
## 1951 76.8 88 0 0.25
## 1952 71.4 162 0 3.62
## 1953 59.4 34 7 1.07
## 1954 62.4 281 10 0.01
## 1955 73.9 154 0 0.01
## 1956 46.4 64 39 2.33
## 1957 53.2 367 498 8.30
## 1958 66.7 215 4 3.31
## 1959 71.0 183 0 6.37
## 1960 75.4 113 0 6.56
## 1961 74.4 144 8 3.52
## 1962 82.1 6 0 10.15
## 1963 74.6 12 3 1.24
## 1964 76.6 88 0 5.37
## 1965 80.0 78 0 9.08
## 1966 67.8 184 22 2.15
## 1967 45.4 7 28 4.57
## 1968 76.0 121 6 3.82
## 1969 74.4 167 0 10.75
## 1970 75.9 17 0 0.01
## 1971 74.2 167 0 16.99
## 1972 82.7 49 0 NA
## 1973 57.0 352 46 0.01
## 1974 57.6 31 42 1.60
## 1975 76.2 118 8 7.93
## 1976 59.1 39 2 1.02
## 1977 73.1 119 4 0.61
## 1978 81.2 66 0 10.75
## 1979 67.2 229 4 2.77
## 1980 61.2 278 60 1.80
## 1981 83.0 78 0 10.08
## 1982 77.5 99 0 12.69
## 1983 64.7 218 35 0.21
## 1984 68.0 22 0 1.76
## 1985 84.0 7 0 11.72
## 1986 77.5 14 0 11.14
## 1987 72.0 199 0 13.94
## 1988 75.3 14 0 1.03
## 1989 83.0 62 0 7.91
## 1990 58.8 272 238 0.01
## 1991 71.9 162 3 7.68
## 1992 78.0 222 0 12.30
## 1993 67.0 336 22 NA
## 1994 71.9 166 6 3.04
## 1995 69.9 174 54 0.21
## 1996 52.1 341 229 1.85
## 1997 74.5 98 1 1.67
## 1998 74.6 153 0 NA
## 1999 76.4 13 0 NA
## 2000 64.4 282 8 6.58
## 2001 69.0 155 26 0.46
## 2002 54.2 382 56 5.90
## 2003 49.5 48 90 2.09
## 2004 73.8 14 10 4.69
## 2005 73.2 168 9 8.18
## 2006 74.6 116 0 3.64
## 2007 53.0 432 72 1.43
## 2008 74.8 15 0 11.51
## 2009 67.5 277 5 8.86
## 2010 78.0 225 0 0.01
## 2011 74.8 13 3 1.29
## 2012 69.1 197 6 1.56
## 2013 73.0 134 9 1.29
## 2014 58.7 271 13 3.13
## 2015 65.0 29 17 5.57
## 2016 82.2 6 0 1.80
## 2017 78.3 92 3 12.46
## 2018 75.1 15 0 1.23
## 2019 80.0 72 0 6.37
## 2020 62.2 241 2 0.12
## 2021 68.3 214 0 2.02
## 2022 68.9 25 0 4.47
## 2023 73.8 132 1 9.30
## 2024 87.0 66 0 1.55
## 2025 54.8 48 64 1.19
## 2026 72.1 152 15 4.50
## 2027 83.0 71 1 9.97
## 2028 67.3 191 0 0.01
## 2029 82.6 67 3 7.29
## 2030 63.0 189 377 0.01
## 2031 81.0 62 0 7.05
## 2032 51.2 341 49 0.01
## 2033 68.5 166 9 3.13
## 2034 69.4 164 0 1.58
## 2035 52.5 397 15 NA
## 2036 69.4 24 15 2.45
## 2037 63.8 263 2 2.43
## 2038 71.0 147 3 0.01
## 2039 64.4 233 35 0.06
## 2040 80.0 77 2 7.80
## 2041 76.0 14 1 0.51
## 2042 61.6 291 2 9.02
## 2043 56.8 271 54 0.61
## 2044 72.3 127 4 0.54
## 2045 66.3 218 1 7.32
## 2046 68.9 167 20 0.26
## 2047 61.8 286 10 0.79
## 2048 47.4 382 92 5.04
## 2049 81.1 72 2 9.34
## 2050 59.4 241 50 0.15
## 2051 68.9 169 0 1.89
## 2052 75.3 81 0 2.05
## 2053 73.4 157 4 3.08
## 2054 62.2 325 2 5.76
## 2055 64.9 213 0 0.60
## 2056 74.3 15 4 3.11
## 2057 73.2 136 0 0.01
## 2058 59.8 296 1 0.45
## 2059 56.9 436 2 6.21
## 2060 65.8 21 0 4.13
## 2061 64.7 249 31 0.03
## 2062 62.5 237 2 0.01
## 2063 54.7 327 32 0.21
## 2064 43.3 48 30 3.83
## 2065 68.0 242 1 8.36
## 2066 72.2 134 2 0.01
## 2067 52.0 299 59 0.54
## 2068 82.0 75 0 11.12
## 2069 81.9 57 0 7.30
## 2070 51.9 428 77 1.51
## 2071 66.2 215 0 NA
## 2072 64.4 28 9 0.01
## 2073 71.7 193 1 12.22
## 2074 76.6 12 32 5.23
## 2075 72.0 17 81 6.85
## 2076 69.9 22 5 6.29
## 2077 52.2 513 4 0.01
## 2078 81.1 66 0 10.15
## 2079 66.2 162 359 0.01
## 2080 73.6 157 57 7.33
## 2081 81.5 63 1 2.55
## 2082 69.2 177 0 NA
## 2083 69.1 185 17 0.01
## 2084 82.5 5 0 7.81
## 2085 56.0 371 13 4.27
## 2086 79.3 73 0 1.43
## 2087 76.9 115 1 3.92
## 2088 61.1 314 28 0.01
## 2089 41.0 519 30 4.21
## 2090 62.1 253 37 0.01
## 2091 52.1 3 5 2.84
## 2092 82.5 49 0 7.45
## 2093 78.4 98 0 9.31
## 2094 75.6 126 10 8.33
## 2095 69.8 196 0 4.94
## 2096 78.3 78 0 2.03
## 2097 73.7 13 1 2.10
## 2098 67.6 256 6 4.89
## 2099 74.7 141 3 2.37
## 2100 81.6 55 0 10.22
## 2101 74.1 131 1 9.85
## 2102 64.3 22 38 0.20
## 2103 53.3 394 58 5.22
## 2104 68.3 185 134 0.08
## 2105 52.2 366 46 0.64
## 2106 89.0 69 2 11.03
## 2107 64.3 219 0 0.60
## 2108 58.6 35 20 4.79
## 2109 72.9 155 1 10.98
## 2110 78.0 174 0 6.70
## 2111 56.3 295 237 2.09
## 2112 57.2 27 53 0.01
## 2113 83.0 62 3 6.90
## 2114 73.0 155 3 5.39
## 2115 66.5 188 182 0.06
## 2116 75.8 116 0 13.24
## 2117 77.3 11 0 11.54
## 2118 76.4 119 1 6.76
## 2119 62.0 261 3 0.48
## 2120 66.6 194 29 0.20
## 2121 78.1 16 1 3.58
## 2122 74.1 149 0 12.09
## 2123 73.8 122 8 0.80
## 2124 74.5 148 2 3.55
## 2125 74.5 129 3 0.53
## 2126 69.3 199 0 4.52
## 2127 72.4 148 0 1.79
## 2128 59.1 317 62 1.86
## 2129 60.0 266 2 0.24
## 2130 72.2 171 0 12.55
## 2131 77.2 84 0 4.76
## 2132 69.3 21 16 2.41
## 2133 73.0 139 0 2.15
## 2134 58.0 399 25 6.39
## 2135 77.3 122 0 0.01
## 2136 71.4 189 7 6.43
## 2137 71.9 155 0 1.51
## 2138 81.7 83 3 11.80
## 2139 81.0 75 0 9.50
## 2140 71.8 183 4 2.05
## 2141 72.7 16 5 1.68
## 2142 73.3 165 1 3.67
## 2143 81.0 67 1 10.30
## 2144 75.9 114 0 13.19
## 2145 67.3 191 159 0.06
## 2146 71.5 141 2 0.01
## 2147 71.4 167 18 4.66
## 2148 71.6 158 0 1.24
## 2149 72.9 134 1 0.55
## 2150 81.7 58 0 7.40
## 2151 81.1 63 1 8.96
## 2152 55.6 371 51 6.19
## 2153 69.9 228 0 6.68
## 2154 73.4 158 9 4.13
## 2155 61.4 217 8 0.02
## 2156 48.6 453 17 1.56
## 2157 53.5 38 5 2.58
## 2158 74.4 14 0 10.58
## 2159 74.9 138 3 NA
## 2160 75.7 123 1 6.35
## 2161 76.1 85 157 NA
## 2162 55.0 354 217 0.86
## 2163 78.3 95 0 11.28
## 2164 72.8 18 1 4.29
## 2165 67.0 185 0 2.23
## 2166 80.0 56 0 10.55
## 2167 58.5 343 7 0.83
## 2168 69.6 188 0 6.35
## 2169 68.1 192 0 1.21
## 2170 73.2 131 9 0.93
## 2171 69.2 184 16 0.01
## 2172 82.0 85 0 11.92
## 2173 89.0 88 3 11.90
## 2174 55.5 278 55 0.57
## 2175 77.0 148 0 3.82
## 2176 79.9 78 0 9.31
## 2177 72.6 11 1 3.66
## 2178 75.4 131 29 3.94
## 2179 75.9 12 9 8.35
## 2180 71.4 154 18 4.59
## 2181 67.6 228 1 10.98
## 2182 69.2 28 14 2.35
## percentage.expenditure Hepatitis.B Measles BMI under.five.deaths Polio
## 1 172.00978840 75 680 NA 92 9
## 2 778.24774670 NA 6 57.3 0 98
## 3 47.08931143 75 0 24.0 0 97
## 4 31.59415870 NA 938 17.2 25 42
## 5 52.82986467 96 237 17.0 130 96
## 6 4472.61140000 NA 4 54.2 1 98
## 7 363.57216440 97 0 48.4 4 97
## 8 703.55273320 95 51 61.3 0 96
## 9 4348.33531000 97 6 64.6 1 95
## 10 287.61245190 92 1 59.9 1 95
## 11 708.61579660 95 0 56.2 1 99
## 12 0.00000000 9 0 47.1 0 88
## 13 81.84050070 74 2 19.0 96 76
## 14 3427.32033200 92 29 56.6 1 94
## 15 0.00000000 88 23 28.6 52 88
## 16 362.87022710 94 0 4.3 1 94
## 17 52.31086276 79 0 33.0 3 74
## 18 469.58238980 91 1 32.2 4 96
## 19 30.72290501 94 101 24.9 60 94
## 20 69.43934508 93 0 52.2 12 92
## 21 0.00000000 82 0 77.6 0 8
## 22 0.00000000 NA 6755 1.0 39 92
## 23 515.07347950 97 73 67.7 0 99
## 24 10.68147485 39 927 32.1 15 84
## 25 253.40223380 93 3 58.1 0 94
## 26 0.10805597 99 12 3.7 0 99
## 27 4.63277630 75 760 17.0 83 82
## 28 263.03728380 91 0 53.0 0 91
## 29 611.90935660 97 37 17.3 0 96
## 30 569.62550350 84 0 71.5 0 88
## 31 954.96448870 NA 0 57.4 2 92
## 32 263.21110310 49 6855 24.7 759 49
## 33 295.77301710 93 4 37.2 0 99
## 34 0.00000000 73 815 4.4 47 67
## 35 1030.22027100 NA 0 57.6 1 99
## 36 0.00000000 95 5 56.9 0 96
## 37 0.00000000 41 45 57.1 8 5
## 38 760.65505530 89 1028 34.1 3 89
## 39 60.65068446 99 1 58.0 0 99
## 40 321.61325930 98 0 5.9 3 99
## 41 11.56715633 94 0 44.7 0 95
## 42 0.00000000 95 0 49.9 11 95
## 43 0.00000000 65 0 5.6 37 76
## 44 0.00000000 98 0 61.3 0 97
## 45 1641.30981000 93 0 48.4 0 93
## 46 24.82762854 NA 0 41.6 1 95
## 47 3.98992847 NA 61 18.4 22 71
## 48 0.00000000 9 4 6.7 2 89
## 49 42.17956418 89 0 49.8 19 89
## 50 264.24961290 95 632 28.8 4 96
## 51 504.43087350 83 90 51.7 0 84
## 52 0.00000000 81 5020 21.6 308 78
## 53 176.01071060 62 0 45.9 7 81
## 54 244.03919490 91 21 2.3 1 92
## 55 110.26336190 75 426 23.5 39 77
## 56 5.30090204 17 1 26.4 7 9
## 57 320.32392410 9 0 5.8 23 95
## 58 99.08095375 86 0 54.8 0 96
## 59 1529.49777100 97 2339 59.3 16 98
## 60 0.00000000 84 0 45.4 16 84
## 61 547.21014110 98 6071 26.8 12 99
## 62 882.35636200 94 0 57.7 1 95
## 63 0.00000000 92 188 69.6 26 93
## 64 143.61973160 86 49 26.3 4 87
## 65 45.85105771 85 0 67.8 0 91
## 66 725.48531610 NA 0 55.9 0 97
## 67 530.48323360 NA 11 52.8 0 97
## 68 2218.36422600 96 0 36.2 0 99
## 69 8.71740870 65 420 27.5 43 69
## 70 121.36254670 77 9 2.6 82 88
## 71 4582.47608100 97 74 65.1 0 98
## 72 7.34480821 47 141 21.2 23 47
## 73 11.08905273 65 798 13.4 122 41
## 74 0.00000000 99 4929 47.2 1 98
## 75 69.02042450 45 7360 18.3 89 76
## 76 14829.41215000 NA 0 57.5 0 93
## 77 24.73299655 78 0 34.4 1 78
## 78 60.49098150 NA 16527 14.1 6 99
## 79 63.87845220 98 20 64.8 4 98
## 80 466.66936980 98 0 41.6 1 97
## 81 5842.37476500 88 121 57.1 3 96
## 82 0.27564826 95 4074 18.7 21 97
## 83 0.00000000 99 0 53.7 0 99
## 84 1109.96950800 91 0 58.9 0 92
## 85 334.76721070 98 0 51.3 1 98
## 86 0.00000000 99 0 47.5 0 99
## 87 64.39853344 NA 0 37.5 24 58
## 88 21.33781840 NA 2151 17.3 56 56
## 89 0.00000000 97 82 64.8 2 97
## 90 123.09662980 99 18 51.1 1 97
## 91 22.39648813 NA 8 22.0 16 66
## 92 0.32841806 NA 12237 12.1 36 62
## 93 0.00000000 99 4 47.9 1 98
## 94 2094.19096000 NA 4 59.8 0 95
## 95 21.41123529 88 0 47.1 4 88
## 96 345.90442580 98 0 45.0 1 98
## 97 0.00000000 95 0 62.0 0 97
## 98 0.00000000 54 243 23.3 40 42
## 99 167.62015520 83 0 74.1 0 74
## 100 1521.67275100 99 0 35.5 0 98
## 101 0.00000000 9 71 26.8 10 9
## 102 0.00000000 42 7497 24.3 80 47
## 103 0.00000000 NA 189 6.1 4 92
## 104 3064.30114400 94 141 59.0 2 91
## 105 96.03725103 84 0 19.5 40 84
## 106 158.70873990 88 0 54.3 0 98
## 107 20.53327531 66 0 44.2 14 79
## 108 0.00000000 86 157 62.5 3 98
## 109 102.37390900 99 10 3.7 0 99
## 110 309.78345870 NA 18 19.5 4 46
## 111 198.94876000 89 64 52.8 1 88
## 112 0.00000000 NA 146 21.7 13 62
## 113 0.00000000 99 0 54.6 1 99
## 114 55.59543946 NA 653 13.1 26 69
## 115 34.73924576 87 0 44.9 4 85
## 116 22.48638351 74 0 47.3 6 84
## 117 78.28120317 9 0 79.3 0 9
## 118 343.12339500 93 0 68.4 0 99
## 119 417.91174410 95 0 61.8 1 95
## 120 47.35260547 12 0 71.4 0 54
## 121 698.35227860 6 0 73.8 0 62
## 122 0.00000000 89 0 58.3 0 89
## 123 2183.10698600 98 3 65.4 0 99
## 124 630.38835640 89 45 53.1 0 9
## 125 22.39387584 NA 3903 17.4 474 71
## 126 8040.22044400 NA 334 54.4 0 89
## 127 9.53048032 85 333 18.3 96 85
## 128 0.00000000 89 95 22.0 75 83
## 129 18.53143030 54 23 51.3 1 93
## 130 1559.28715800 89 46 62.4 0 91
## 131 151.76256700 89 56 5.5 1 9
## 132 7453.86440000 85 20 53.7 0 85
## 133 131.04212690 88 37 26.7 4 87
## 134 66.72933871 92 6000 46.5 29 94
## 135 3.88539474 64 92 14.8 75 79
## 136 417.80388980 92 0 49.0 19 92
## 137 0.00000000 89 116 6.9 33 89
## 138 1117.04813400 97 373 6.2 10 96
## 139 3.82421247 8 830 15.2 93 86
## 140 230.25241840 96 0 57.3 0 99
## 141 57.11644801 73 172 17.5 103 7
## 142 116.25859430 83 375 47.6 10 83
## 143 0.00000000 9 85 6.1 33 9
## 144 368.28482580 NA 4 27.2 4 81
## 145 476.86258720 94 0 34.2 3 96
## 146 1142.21240300 67 26 59.0 0 98
## 147 0.00000000 68 31 27.1 42 67
## 148 40.37835666 NA 1317 16.5 102 68
## 149 244.35108010 95 27 55.9 0 95
## 150 282.83646120 96 4519 2.9 18 98
## 151 62.85658630 99 0 25.4 0 99
## 152 1275.68962500 95 0 58.1 2 94
## 153 375.17403230 98 9 52.9 4 97
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## 2074 150.40887500 82 0 62.1 37 83
## 2075 186.60904850 96 0 46.9 93 99
## 2076 24.44473709 95 321 52.3 5 95
## 2077 168.13489920 95 179 3.8 6 93
## 2078 10055.34981000 NA 60 53.2 0 94
## 2079 62.29361092 72 1370 24.7 442 72
## 2080 564.52339020 99 0 51.1 64 99
## 2081 508.66454380 98 5 62.6 1 96
## 2082 0.00000000 98 0 5.5 0 99
## 2083 19.16246960 99 0 43.0 19 99
## 2084 6818.54640700 NA 0 59.7 0 89
## 2085 10.42436900 NA 131 2.7 19 51
## 2086 2263.06832600 95 33 29.6 0 96
## 2087 49.34007756 98 0 49.4 1 98
## 2088 196.66757680 86 9 22.8 41 78
## 2089 33.34691455 NA 649 17.5 48 38
## 2090 97.67794571 98 124 28.0 54 93
## 2091 6.69941875 NA 0 17.4 9 52
## 2092 8254.02076300 NA 0 6.6 0 9
## 2093 3869.02630200 NA 0 57.1 0 96
## 2094 1398.04262300 94 3 59.2 11 97
## 2095 815.43559950 84 0 53.3 0 85
## 2096 1855.82880600 97 141 28.5 0 98
## 2097 618.36148580 75 213 6.2 1 74
## 2098 115.73897400 48 7587 55.4 7 99
## 2099 42.73082830 99 1686 22.7 3 99
## 2100 687.57763580 NA 0 58.5 0 96
## 2101 820.81090980 93 1 56.4 1 97
## 2102 2.79096532 2 13344 12.9 50 76
## 2103 0.96249705 81 196 23.8 91 78
## 2104 211.87834040 81 21893 23.8 161 81
## 2105 76.52382535 39 226 18.2 78 46
## 2106 941.75629090 88 443 61.9 3 94
## 2107 59.97185848 85 0 68.8 0 88
## 2108 74.46033036 NA 992 34.0 28 5
## 2109 107.98261270 96 1 61.5 1 96
## 2110 1486.23640600 92 0 44.0 0 91
## 2111 0.00000000 65 12461 18.2 324 64
## 2112 96.54658270 66 341 21.9 88 72
## 2113 863.00614910 NA 450 26.9 4 98
## 2114 30.93519548 85 0 45.6 3 81
## 2115 33.95837125 62 3825 16.0 229 77
## 2116 0.00000000 98 17 6.8 0 96
## 2117 650.98135440 NA 0 53.9 0 96
## 2118 24.73142261 94 0 6.1 1 94
## 2119 5.64912342 NA 0 12.6 4 38
## 2120 52.22906505 82 1415 14.9 38 82
## 2121 2377.01029900 89 0 55.5 1 93
## 2122 0.00000000 96 0 42.2 0 96
## 2123 0.00000000 83 19 5.4 9 83
## 2124 473.12381240 98 0 53.2 3 99
## 2125 101.60924500 97 1868 37.4 4 97
## 2126 72.80016800 84 0 51.8 0 84
## 2127 503.58819560 89 0 7.1 0 89
## 2128 7.14685140 88 1218 18.4 91 89
## 2129 69.96754350 68 912 19.2 2 67
## 2130 0.00000000 84 0 38.4 0 91
## 2131 430.87697850 99 0 56.5 1 99
## 2132 25.25040918 NA 0 41.7 20 82
## 2133 558.72064860 58 0 72.9 0 6
## 2134 10.66670728 95 0 3.8 36 95
## 2135 2700.07305000 93 0 59.4 0 93
## 2136 4.67359227 63 0 45.1 8 74
## 2137 310.82033820 88 0 67.0 0 85
## 2138 683.91905680 74 14949 6.6 3 99
## 2139 10261.76300000 NA 17 58.1 0 94
## 2140 13.39092189 97 21 19.2 4 97
## 2141 53.61278637 NA 309 14.6 6 98
## 2142 192.32263050 98 0 45.4 1 97
## 2143 579.13316370 95 10 61.5 2 92
## 2144 0.00000000 99 0 61.3 0 96
## 2145 72.01593160 66 20422 19.7 194 78
## 2146 31.80653288 99 2771 55.3 3 97
## 2147 477.13418140 78 1 46.7 21 82
## 2148 40.49128897 93 0 65.5 0 91
## 2149 564.54256630 99 15 46.5 1 99
## 2150 11477.66710000 42 26 57.7 0 98
## 2151 1047.37024400 2 51 59.9 1 97
## 2152 83.18071241 82 504 26.6 79 8
## 2153 332.27517090 96 1 55.7 0 97
## 2154 14.58874030 69 2 44.3 10 9
## 2155 61.76263795 74 4 26.1 12 73
## 2156 40.45156933 42 11 19.8 25 45
## 2157 13.52999556 NA 3526 19.6 8 69
## 2158 0.00000000 99 0 54.2 0 99
## 2159 0.00000000 99 1568 23.4 3 99
## 2160 152.54484050 96 0 58.3 1 96
## 2161 0.00000000 99 42361 32.9 183 99
## 2162 1.50696248 NA 73 13.5 342 54
## 2163 507.30616400 64 44 59.4 1 96
## 2164 14.71928882 97 8 47.9 1 97
## 2165 0.00000000 87 0 61.5 0 85
## 2166 2159.75620500 96 1 58.7 0 99
## 2167 0.70313218 86 460 13.1 10 92
## 2168 103.37106890 89 0 38.4 0 89
## 2169 244.39764380 92 0 45.5 0 98
## 2170 10.21129783 82 189 46.8 10 84
## 2171 0.44280240 99 8 43.9 18 99
## 2172 3108.28862300 97 2 58.8 0 97
## 2173 7002.78592500 47 604 59.1 3 98
## 2174 102.14137440 74 98 19.6 94 74
## 2175 155.20726690 4 0 22.6 0 92
## 2176 491.05585200 87 20 62.1 0 89
## 2177 91.71154052 96 662 45.0 1 97
## 2178 0.00000000 95 750 14.7 36 96
## 2179 1133.55800300 91 2 61.0 10 99
## 2180 297.51123370 NA 1 45.4 24 93
## 2181 0.00000000 94 457 46.8 1 98
## 2182 41.50845637 87 0 43.8 18 87
## Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 7.97 9 0.3 1476.478870 34385963.00
## 2 9.47 98 0.1 5276.255910 9378126.00
## 3 7.84 97 1.2 843.894470 159328.00
## 4 4.16 44 13.4 253.768343 397612.00
## 5 2.88 96 0.1 951.889453 157571292.00
## 6 8.46 98 0.1 35245.164700 1622532.00
## 7 9.78 97 0.4 2178.383250 855646.00
## 8 8.10 96 0.1 5234.767360 4598294.00
## 9 7.81 95 0.1 37582.846240 82157.00
## 10 8.30 95 0.1 21955.149000 1955141.00
## 11 1.79 95 0.1 5376.447622 NA
## 12 NA 96 0.3 17321.833730 13692.00
## 13 6.97 74 1.7 595.636832 1367566.00
## 14 2.32 94 0.1 39439.819700 NA
## 15 NA 88 0.7 1361.113950 27582821.00
## 16 6.45 94 1.9 2327.583240 747869.00
## 17 3.43 76 8.0 763.662230 1586754.00
## 18 5.56 96 28.4 4896.583835 182933.00
## 19 5.17 94 2.1 186.765380 2393831.00
## 20 5.30 93 0.2 522.493191 29373646.00
## 21 NA 78 0.1 1424.483611 11247.00
## 22 4.70 75 0.2 NA NA
## 23 2.15 97 0.1 8834.879580 NA
## 24 4.48 85 0.3 189.387852 6447688.00
## 25 6.63 94 0.1 16348.531210 2177322.00
## 26 5.29 99 0.2 8.376432 1254.00
## 27 1.78 82 0.6 296.972840 48846474.00
## 28 7.57 91 0.1 15472.781400 NA
## 29 5.89 96 0.1 3853.333480 312.00
## 30 5.13 86 0.1 3392.647430 135.00
## 31 6.69 91 0.1 7615.346800 1614764.00
## 32 3.67 49 3.9 3221.678128 1764652.00
## 33 2.25 97 0.1 4717.273000 NA
## 34 5.64 73 0.1 NA NA
## 35 8.42 99 0.1 8396.253230 1129552.00
## 36 6.74 96 0.1 NA NA
## 37 NA 41 0.1 NA 18734987.00
## 38 8.53 89 2.5 5488.131712 231652.00
## 39 4.26 99 0.1 3369.482470 851967.00
## 40 6.39 98 0.1 1682.957924 58782.00
## 41 6.35 95 0.1 741.484380 NA
## 42 5.49 95 0.2 NA NA
## 43 NA 77 0.1 NA 24939299.00
## 44 7.44 99 0.2 NA NA
## 45 5.64 93 0.1 16462.485560 NA
## 46 5.81 93 2.2 336.874200 2656864.00
## 47 5.60 71 5.1 349.993725 5534598.00
## 48 NA 89 0.1 8958.788593 19815481.00
## 49 5.37 89 0.1 274.249442 42724163.00
## 50 3.95 96 0.1 4463.675893 2468873.00
## 51 1.48 84 0.1 3212.935500 8121423.00
## 52 NA 81 1.1 NA NA
## 53 5.10 79 0.1 3851.437869 85813.00
## 54 5.17 91 0.5 2178.921383 727641.00
## 55 5.37 75 1.4 825.942785 94682.00
## 56 7.13 9 33.8 63.636279 191897.00
## 57 3.82 95 0.1 3935.183343 34376.00
## 58 5.81 96 0.5 833.313320 52613.00
## 59 7.90 97 0.2 15543.676530 14356911.00
## 60 5.22 84 0.2 NA NA
## 61 4.11 99 0.3 4212.549200 66881867.00
## 62 11.59 94 0.1 4117.388530 332496.00
## 63 NA 95 0.1 NA NA
## 64 5.11 84 48.8 1437.634951 172927.00
## 65 5.90 9 0.1 229.714718 99789.00
## 66 1.70 97 0.1 3944.999000 289521.00
## 67 9.10 97 0.1 3751.649460 5358783.00
## 68 2.73 95 0.1 35268.111700 NA
## 69 6.44 68 30.3 444.765750 129432.00
## 70 3.95 88 0.1 1391.772325 8789419.00
## 71 3.10 97 0.1 51488.495290 NA
## 72 3.62 47 5.1 486.411140 449416.00
## 73 8.82 41 0.1 198.728544 2364851.00
## 74 8.31 97 0.1 NA NA
## 75 3.00 79 0.1 957.287441 79665315.00
## 76 8.58 93 0.1 85128.657590 479153.00
## 77 1.57 78 2.1 174.915110 912164.00
## 78 3.77 99 0.1 875.412178 18655.00
## 79 7.45 98 0.1 466.947750 88936.00
## 80 7.32 98 0.3 2716.352560 745693.00
## 81 1.37 96 0.1 34165.934300 8251626.00
## 82 3.40 97 0.8 27.564826 6295821.00
## 83 7.35 99 0.1 NA NA
## 84 6.55 92 0.1 11326.219470 297555.00
## 85 6.50 99 0.1 2994.339988 NA
## 86 NA 99 0.1 NA NA
## 87 5.61 55 4.3 387.942972 9119178.00
## 88 3.76 53 3.0 322.811171 9137345.00
## 89 NA 97 0.1 NA NA
## 90 2.10 99 0.1 2275.353600 NA
## 91 8.40 6 3.1 168.648254 326123.00
## 92 5.87 59 2.1 3.685949 12152354.00
## 93 8.49 98 0.1 NA NA
## 94 9.16 95 0.1 11563.727000 518573.00
## 95 6.33 88 0.3 124.992617 545211.00
## 96 5.10 98 0.3 3944.178173 75881.00
## 97 7.63 98 0.1 NA NA
## 98 NA 54 0.5 554.487660 1291533.00
## 99 12.23 82 0.1 1413.323400 9844.00
## 100 3.58 98 0.1 15687.347950 89949.00
## 101 5.15 9 3.0 NA NA
## 102 NA 42 0.7 426.985370 NA
## 103 7.98 92 0.1 NA NA
## 104 8.18 92 0.1 19517.841680 19413.00
## 105 5.35 84 0.7 773.869871 11251266.00
## 106 6.83 98 0.1 2293.478900 993563.00
## 107 4.36 73 1.1 1166.663370 6947447.00
## 108 NA 98 0.1 36526.771100 6662468.00
## 109 3.73 99 0.1 1214.399870 846.00
## 110 2.23 37 3.6 3577.176197 694611.00
## 111 9.38 94 0.1 3725.632210 3875.00
## 112 2.42 62 5.9 NA NA
## 113 NA 99 0.1 16627.364330 NA
## 114 6.74 69 1.9 362.421379 12853124.00
## 115 7.60 89 0.1 359.992184 647117.00
## 116 5.85 81 0.1 495.294791 8947243.00
## 117 16.61 9 0.1 3542.135890 1819.00
## 118 9.95 99 0.1 2193.883600 419455.00
## 119 8.55 95 0.1 14166.499800 3385624.00
## 120 4.52 26 0.1 359.822230 183526.00
## 121 6.91 67 0.1 4219.651230 19757.00
## 122 NA 89 0.4 8818.982566 55328.00
## 123 9.26 99 0.1 21874.819500 1965211.00
## 124 9.58 89 0.1 4611.472980 372284.00
## 125 2.76 68 0.1 499.863300 144654143.00
## 126 7.34 89 0.1 47631.637700 47262.00
## 127 1.87 85 0.6 643.951373 49479752.00
## 128 NA 89 2.8 1349.971440 47236259.00
## 129 1.19 88 0.1 276.588512 3978.00
## 130 2.18 8 0.1 29986.291500 NA
## 131 8.99 92 0.1 3174.949100 43.00
## 132 1.40 85 0.1 46586.652500 8295487.00
## 133 5.16 85 49.9 1324.996228 1893.00
## 134 5.31 94 0.1 1413.757176 29512368.00
## 135 4.82 64 24.7 29.979898 1213711.00
## 136 5.92 92 0.1 2246.257472 42152151.00
## 137 13.73 94 0.1 NA NA
## 138 3.42 96 0.1 13739.829450 NA
## 139 1.97 78 0.5 219.782326 47624894.00
## 140 7.40 99 0.1 3215.815900 19876.00
## 141 6.28 69 2.0 439.357292 1239196.00
## 142 4.11 8 0.1 1577.457182 18294611.00
## 143 13.70 94 0.1 NA NA
## 144 6.47 81 24.0 3288.257373 29228.00
## 145 5.55 96 12.7 5623.379566 1946351.00
## 146 11.93 98 0.1 5918.198980 969611.00
## 147 7.13 65 33.6 454.366654 12777511.00
## 148 6.76 67 1.3 354.818600 15228525.00
## 149 5.10 95 0.1 12595.416500 134681.00
## 150 3.58 98 0.6 2358.936290 64554952.00
## 151 5.66 99 0.9 1126.462120 166913.00
## 152 6.18 94 0.1 9484.681227 16319792.00
## 153 5.30 97 0.1 2774.955860 21574326.00
## 154 6.80 99 0.1 1618.492800 479993.00
## 155 5.40 97 0.1 2213.914880 9699197.00
## 156 8.30 99 0.1 37688.722340 127761.00
## 157 4.87 9 0.1 2284.378580 146.00
## 158 NA 96 0.1 NA NA
## 159 7.00 98 0.1 4271.681720 1114398.00
## 160 2.46 94 0.1 36161.176100 NA
## 161 NA 93 0.1 NA NA
## 162 6.80 96 0.1 9667.975700 2218357.00
## 163 6.27 98 0.1 2832.188893 NA
## 164 7.33 94 0.1 29657.442100 7388.00
## 165 5.36 72 0.1 248.618354 24161777.00
## 166 3.28 99 0.1 322.992615 2271.00
## 167 4.24 37 14.3 243.542932 3754986.00
## 168 9.39 97 0.1 28562.293240 4677355.00
## 169 5.17 6 0.7 278.555732 1626932.00
## 170 NA 98 0.1 NA NA
## 171 NA 73 0.1 13134.436700 3969249.00
## 172 NA 99 0.1 5814.863134 686576.00
## 173 3.75 82 0.9 631.675789 13676693.00
## 174 4.49 97 0.1 8643.494400 NA
## 175 6.70 96 0.2 157.145691 5795494.00
## 176 7.81 98 0.9 1311.741714 737343.00
## 177 2.79 79 0.1 1.681350 813526.00
## 178 13.63 44 1.2 139.314773 4564297.00
## 179 7.82 9 0.1 6871.897677 3321245.00
## 180 NA 98 0.1 2732.861720 NA
## 181 5.11 96 0.6 234.289920 48795.00
## 182 7.61 94 0.3 2519.737387 5971535.00
## 183 5.39 62 1.9 52.348565 11281469.00
## 184 9.10 99 0.1 579.724150 5388272.00
## 185 4.50 77 0.5 47.733254 19996469.00
## 186 3.37 99 0.1 1557.778920 91359.00
## 187 5.34 99 2.2 3394.878000 267711.00
## 188 3.80 97 0.1 2977.115300 NA
## 189 5.61 79 2.9 332.344351 12654621.00
## 190 9.31 91 0.1 1647.441790 4757575.00
## 191 9.41 95 0.1 NA NA
## 192 7.23 98 0.1 3992.867170 8413464.00
## 193 4.31 91 0.4 136.451800 1373513.00
## 194 4.34 85 1.6 4647.313590 954353.00
## 195 4.70 77 0.5 415.689323 2569121.00
## 196 5.26 99 0.1 6337.882993 135695.00
## 197 5.66 96 0.1 4274.952650 14447562.00
## 198 6.18 96 0.2 NA NA
## 199 4.94 82 0.1 NA NA
## 200 3.90 88 6.4 916.899251 39148416.00
## 201 4.67 76 0.1 655.974326 8486.00
## 202 9.60 98 0.1 4385.353150 929572.00
## 203 5.26 84 46.4 1637.456700 161468.00
## 204 2.54 72 5.0 NA NA
## 205 8.90 99 0.1 13167.472890 198686688.00
## 206 4.46 79 1.6 793.452430 894476.00
## 207 4.38 89 0.1 3556.561825 26226.00
## 208 5.34 68 0.1 4718.512910 668583.00
## 209 8.80 77 3.7 6479.625659 54146734.74
## 210 NA 95 0.1 5237.255334 795383.00
## 211 2.37 73 5.5 NA NA
## 212 NA 95 2.2 6532.651000 229197.00
## 213 6.11 81 15.9 13.154199 12383446.00
## 214 3.91 25 5.2 66.242140 1679.00
## 215 7.25 93 0.1 4274.376857 3776.00
## 216 2.88 45 10.7 727.777345 1444844.00
## 217 NA 89 0.3 1194.591370 5243669.00
## 218 6.60 95 0.1 7748.123310 11555228.00
## 219 3.41 94 0.1 7145.628494 NA
## 220 1.93 96 0.1 394.467675 4935762.00
## 221 5.67 94 0.1 1532.229240 212647.00
## 222 3.85 57 2.3 436.689554 1556524.00
## 223 3.51 99 0.1 174.514750 4754641.00
## 224 4.47 49 0.1 2571.262348 179929.00
## 225 3.38 99 0.1 12189.951600 87441.00
## 226 5.52 97 0.1 716.821900 1435568.00
## 227 5.55 82 5.1 42.764743 5997385.00
## 228 5.11 99 0.3 546.776852 26167.00
## 229 6.68 97 0.1 NA NA
## 230 9.20 92 0.1 62245.129000 223424.00
## 231 8.18 96 0.1 14157.144160 442978.00
## 232 4.73 63 2.0 459.291200 113517.00
## 233 4.65 78 0.1 3735.144836 29894652.00
## 234 5.57 91 2.1 NA NA
## 235 1.10 83 0.1 1117.777240 115676.00
## 236 13.44 91 0.1 NA NA
## 237 7.10 78 43.5 547.358878 12222251.00
## 238 6.93 95 0.1 14726.318280 1334515.00
## 239 8.95 81 1.9 1536.156850 881185.00
## 240 8.50 94 0.1 7937.259931 3643222.00
## 241 8.39 88 0.1 1872.684160 4136.00
## 242 8.47 89 21.6 369.239336 122843.00
## 243 NA 93 0.1 NA NA
## 244 1.40 5 0.9 458.465173 439737.00
## 245 4.47 99 0.1 NA NA
## 246 4.65 96 31.9 4163.659600 184339.00
## 247 4.79 99 0.1 NA NA
## 248 4.72 83 8.5 NA NA
## 249 8.44 88 0.1 7853.335191 7223938.00
## 250 8.28 99 0.1 11161.724410 18765.00
## 251 NA 99 0.1 66346.522670 NA
## 252 8.39 62 1.5 637.361621 6161517.00
## 253 6.63 94 1.7 188.783165 6524283.00
## 254 4.71 83 0.1 197.294170 177662.00
## 255 5.90 99 0.1 998.822667 2526446.00
## 256 7.37 98 0.1 4428.522898 333.00
## 257 3.87 99 0.1 37567.312100 NA
## 258 NA 96 0.2 1624.639630 195553.00
## 259 8.42 77 0.1 5339.441291 3986852.00
## 260 NA 94 0.1 NA NA
## 261 8.64 93 0.1 61235.415000 4489544.00
## 262 3.18 69 0.2 477.738478 29435944.00
## 263 6.75 96 0.2 14.214412 817789.00
## 264 1.88 92 0.1 NA NA
## 265 5.21 96 0.1 8214.185378 2882982.00
## 266 3.66 67 0.1 2697.961375 22534.00
## 267 7.95 97 0.1 NA NA
## 268 11.66 96 0.1 85814.588570 8188649.00
## 269 3.52 7 0.1 1353.934819 193956.00
## 270 NA 98 0.1 159.981700 17544126.00
## 271 11.70 95 0.1 74276.718420 782499.00
## 272 5.92 88 0.1 5223.351763 15177355.00
## 273 5.38 98 0.1 12542.935650 75787333.00
## 274 4.82 78 0.1 NA NA
## 275 8.88 95 0.1 223.837870 5714111.00
## 276 5.40 96 0.1 NA NA
## 277 5.61 74 0.1 1391.816923 2631669.00
## 278 4.56 96 2.3 3465.221998 2712511.00
## 279 5.23 97 0.1 2191.478567 3869346.00
## 280 3.70 97 0.6 2422.816000 752967.00
## 281 NA 8 0.1 NA 23565413.00
## 282 NA 91 0.1 743.765349 28656282.00
## 283 11.99 79 0.1 NA NA
## 284 5.88 95 0.3 1741.142552 686958.00
## 285 3.30 94 1.4 297.828588 466648.00
## 286 3.65 8 0.1 544.566526 583211.00
## 287 1.48 97 0.1 5338.254830 16615394.00
## 288 7.27 9 0.1 5886.827890 4159914.00
## 289 NA 97 0.1 1979.525690 78271472.00
## 290 NA 99 0.1 2137.576852 312989.00
## 291 7.67 96 0.1 519.958715 NA
## 292 4.99 94 0.1 12976.636420 42539925.00
## 293 4.43 81 1.9 28.196949 339281.00
## 294 3.17 95 0.1 2745.271360 NA
## 295 3.12 8 3.4 373.281554 2446782.00
## 296 4.21 97 0.1 1352.837400 NA
## 297 5.73 91 1.9 145.588610 751652.00
## 298 NA NA 3.5 NA 751642.00
## 299 6.66 99 0.1 948.659251 481422.00
## 300 6.24 89 7.7 236.911438 8818438.00
## 301 5.32 96 0.1 2346.593700 9864326.00
## 302 1.37 94 0.1 1763.815497 16613.00
## 303 6.50 97 0.1 31386.632650 163712.00
## 304 4.20 69 0.1 158.527240 198964.00
## 305 4.50 93 0.1 3372.575170 NA
## 306 3.21 99 0.1 335.521375 2425.00
## 307 8.60 82 0.1 153.575210 419.00
## 308 8.30 8 0.1 12593.737400 393986.00
## 309 7.24 96 0.1 15323.611400 485412.00
## 310 6.90 94 0.1 6682.281158 619428.00
## 311 9.30 74 0.1 5425.669700 371464.00
## 312 4.16 97 0.1 1229.958000 14883626.00
## 313 1.57 99 0.1 4651.386470 11182817.00
## 314 7.69 98 0.5 688.876856 1165151.00
## 315 9.74 98 0.1 2577.426400 1514844.00
## 316 3.58 98 0.1 NA NA
## 317 5.61 97 0.1 1672.569300 72326914.00
## 318 4.60 98 0.1 1448.761100 1952.00
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## 1541 4.69 99 0.1 251.183290 NA
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## 1579 3.61 95 0.1 3332.918533 818354.00
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## 1646 6.22 68 4.2 819.974118 758615.00
## 1647 3.40 99 0.1 2281.124200 NA
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## 1654 3.84 44 7.2 17136.445680 95114.00
## 1655 8.67 89 0.1 24124.169170 37697.00
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## 1661 6.51 99 0.1 6351.812500 2263122.00
## 1662 6.11 79 22.8 257.995570 1899257.00
## 1663 11.78 96 0.1 5484.776300 NA
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## 1683 6.19 95 0.1 653.716370 444.00
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## 1690 7.47 99 0.1 665.644300 115868.00
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## 1700 3.91 99 0.1 1192.517400 82858.00
## 1701 4.30 98 0.1 NA NA
## 1702 7.47 94 0.1 15359.669710 NA
## 1703 4.16 99 0.1 4546.738540 873596.00
## 1704 3.80 89 0.1 41.269970 29822.00
## 1705 4.75 8 7.4 952.187248 1742795.00
## 1706 9.32 95 0.1 35589.712950 1421137.00
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## 1714 9.77 93 0.1 48799.823700 5419432.00
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## 1717 5.50 98 0.1 4492.727640 38258629.00
## 1718 7.18 97 0.1 4137.554210 1886668.00
## 1719 8.53 92 0.1 4991.982890 28276.00
## 1720 5.86 99 0.1 2834.247200 3249639.00
## 1721 6.12 98 1.4 NA NA
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## 1723 6.73 92 0.2 692.116684 27327147.00
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## 1729 3.99 51 10.0 347.673678 421758.00
## 1730 7.80 71 0.3 2545.483410 46533.00
## 1731 8.89 91 0.1 66775.394400 4623291.00
## 1732 9.36 91 0.1 67792.338600 23117353.00
## 1733 6.16 94 0.1 NA NA
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## 1736 2.38 94 0.1 3371.268690 NA
## 1737 9.33 98 0.1 33228.692910 5375931.00
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## 1739 4.40 98 0.6 4187.378300 29747.00
## 1740 NA 93 0.1 NA NA
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## 1742 8.25 97 0.1 1355.745860 4417781.00
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## 1744 9.73 85 0.1 9186.596390 46474.00
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## 1751 4.76 82 7.0 111.711860 18395389.00
## 1752 5.21 99 0.1 NA NA
## 1753 8.90 8 0.1 11685.979830 3838462.00
## 1754 8.83 78 0.1 5372.658990 45735.00
## 1755 6.94 99 0.1 359.587582 182482149.00
## 1756 7.47 78 4.0 662.492293 37553726.00
## 1757 NA 35 0.9 NA NA
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## 1759 5.57 98 0.1 3194.562243 112482.00
## 1760 4.41 4 2.4 779.468356 1823369.00
## 1761 9.30 98 0.1 5828.621374 362.00
## 1762 9.89 97 0.1 22527.317750 61357431.00
## 1763 4.69 87 0.1 NA NA
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## 1765 5.83 94 0.1 8297.483621 2246871.00
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## 1767 9.36 96 0.1 44453.971190 1634611.00
## 1768 8.72 97 0.3 2242.711912 889216.00
## 1769 5.70 83 0.3 44.287267 7557.00
## 1770 3.77 67 0.2 NA NA
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## 1773 5.84 82 1.4 474.223877 132721.00
## 1774 4.31 47 12.8 286.258190 3981665.00
## 1775 2.63 99 0.1 61478.238130 NA
## 1776 6.98 71 1.1 341.289462 15813913.00
## 1777 7.58 9 0.1 13882.856830 NA
## 1778 7.90 95 0.1 3381.578370 771686.00
## 1779 5.91 99 0.1 3154.513484 3431882.00
## 1780 4.96 81 5.3 133.742769 6555829.00
## 1781 5.85 96 0.2 4344.151770 32168.00
## 1782 4.47 97 0.1 5116.454240 1228254.00
## 1783 4.75 74 2.0 625.839200 8216896.00
## 1784 7.10 23 0.2 314.658296 45271947.00
## 1785 5.16 95 0.1 16586.452000 13468.00
## 1786 5.39 83 0.4 116.274300 526796.00
## 1787 2.13 4 5.3 12732.275900 792217.00
## 1788 5.54 64 0.1 673.747370 3568.00
## 1789 4.20 75 1.8 82.151350 8696916.00
## 1790 7.31 91 0.1 NA NA
## 1791 8.85 92 0.1 NA NA
## 1792 4.94 72 1.0 177.867119 7269348.00
## 1793 4.34 99 0.1 12724.393770 NA
## 1794 7.92 77 0.1 145.216300 8365.00
## 1795 11.24 95 0.1 38426.558100 NA
## 1796 11.12 94 1.6 649.342153 148372.00
## 1797 5.67 99 0.1 2861.554500 31989897.00
## 1798 7.75 95 0.1 33846.465640 127149.00
## 1799 3.34 54 2.1 NA NA
## 1800 5.90 67 0.6 416.148380 18426372.00
## 1801 5.82 74 0.1 769.174288 689692.00
## 1802 3.78 88 0.1 3861.324140 1186873.00
## 1803 7.12 81 0.1 8734.965300 4588368.00
## 1804 6.82 98 0.2 1464.497754 5666581.00
## 1805 5.95 96 3.0 NA NA
## 1806 5.76 95 3.1 NA NA
## 1807 11.40 96 0.1 41732.772500 819237.00
## 1808 7.69 61 1.4 511.665773 5862316.00
## 1809 3.14 6 2.8 386.328828 949229.00
## 1810 7.74 91 0.1 4697.111350 4247841.00
## 1811 1.92 9 0.5 987.736583 5155896.00
## 1812 15.14 96 0.1 NA NA
## 1813 1.40 93 0.1 2525.164450 82488495.00
## 1814 2.87 98 0.1 237.832340 NA
## 1815 5.50 99 0.1 6754.512393 NA
## 1816 7.63 95 0.8 1437.628785 754146.00
## 1817 5.55 91 0.7 745.787787 138859.00
## 1818 7.87 68 0.1 63.537231 2978599.00
## 1819 2.89 45 9.5 4116.466930 1231122.00
## 1820 8.15 72 0.1 21928.767000 49379.00
## 1821 5.41 98 0.1 NA NA
## 1822 4.60 93 0.3 3611.214700 28292724.00
## 1823 6.43 98 0.2 189.715390 5882796.00
## 1824 3.51 97 0.1 13636.346680 NA
## 1825 5.98 96 0.2 834.541295 7815949.00
## 1826 7.17 59 0.1 NA NA
## 1827 6.40 97 0.1 9834.472689 119917.00
## 1828 3.89 96 0.1 145.126200 28635128.00
## 1829 6.55 93 0.1 16554.971390 2932367.00
## 1830 4.15 99 0.1 4623.347642 121337.00
## 1831 4.91 49 0.1 NA NA
## 1832 NA 97 0.1 9329.298351 1449687.00
## 1833 4.59 77 1.2 915.267459 14451.00
## 1834 8.39 98 0.1 387.324145 7574943.00
## 1835 3.46 7 0.4 443.961100 22346573.00
## 1836 6.90 78 0.1 784.956287 435262.00
## 1837 6.52 79 24.7 2482.368620 1986535.00
## 1838 NA 26 0.9 NA NA
## 1839 6.32 99 0.3 334.838170 683475.00
## 1840 5.10 86 0.1 1631.417270 176582.00
## 1841 6.25 93 0.1 4674.219610 44374572.00
## 1842 5.59 72 2.5 2862.154836 8697126.00
## 1843 8.11 93 0.1 24.819000 569741.00
## 1844 9.14 96 0.1 1152.396810 1289898.00
## 1845 1.25 96 0.1 4454.447460 127445.00
## 1846 3.50 93 1.9 232.794546 3738265.00
## 1847 3.98 79 3.7 9679.742995 1817271.00
## 1848 8.33 NA 0.1 216.243274 69828.00
## 1849 6.27 95 4.4 729.231453 289315.00
## 1850 4.32 93 0.1 2695.366223 1317885.00
## 1851 NA 95 0.1 44292.884730 16939923.00
## 1852 7.37 99 0.1 2734.883820 115239.00
## 1853 1.94 89 0.1 51126.741390 8391643.00
## 1854 5.82 99 0.1 NA NA
## 1855 3.70 96 0.7 296.546170 6473164.00
## 1856 6.30 85 0.4 3452.828934 15596214.00
## 1857 1.42 93 0.1 5184.494227 NA
## 1858 4.54 84 15.7 395.849351 332149.00
## 1859 7.19 98 0.1 3146.951770 1777567.00
## 1860 3.17 97 0.1 2367.565350 NA
## 1861 5.95 89 0.5 785.692884 143874.00
## 1862 7.89 89 0.1 2542.399350 NA
## 1863 5.13 99 0.2 NA NA
## 1864 4.41 82 1.2 4952.677530 9767758.00
## 1865 2.57 92 0.1 42672.613230 NA
## 1866 8.28 99 0.1 7313.557962 19126637.00
## 1867 8.99 99 21.1 297.697121 13429262.00
## 1868 3.75 87 2.5 NA NA
## 1869 5.96 86 0.4 9484.568980 54254.00
## 1870 6.90 96 0.1 5176.172649 956765.00
## 1871 11.67 97 11.2 512.125451 15627618.00
## 1872 6.40 96 0.1 979.492460 69597281.00
## 1873 5.36 78 0.1 366.570000 6514354.00
## 1874 5.67 81 0.1 2355.725857 41572491.00
## 1875 6.67 93 0.1 14341.836000 2987773.00
## 1876 6.83 95 7.1 287.931877 8991735.00
## 1877 3.47 95 0.1 149.926751 14858335.00
## 1878 NA 95 0.1 41176.881580 81686611.00
## 1879 3.93 78 0.2 893.879364 316764.00
## 1880 7.90 81 0.4 248.412500 59433.00
## 1881 9.56 97 0.1 3736.228000 46576897.00
## 1882 8.91 NA 0.1 2789.173500 612267.00
## 1883 15.57 96 0.1 NA NA
## 1884 7.16 85 18.7 341.955625 1531221.00
## 1885 9.56 91 0.1 9985.369590 4654122.00
## 1886 9.51 94 0.1 NA NA
## 1887 3.35 75 0.1 95.432793 16332974.00
## 1888 4.86 99 2.3 3596.496282 2695446.00
## 1889 5.56 94 0.2 NA NA
## 1890 0.74 79 0.1 643.719110 17811.00
## 1891 1.78 35 2.3 2283.879390 639762.00
## 1892 7.63 99 0.1 NA NA
## 1893 6.99 86 15.2 422.519680 279915.00
## 1894 2.40 98 0.1 14396.486500 NA
## 1895 4.83 99 0.4 3312.825985 52384.00
## 1896 3.96 8 3.2 423.193639 2986536.00
## 1897 9.86 64 8.6 336.459392 2955662.00
## 1898 4.56 72 2.1 583.493514 7754.00
## 1899 3.65 5 3.0 315.839830 8971139.00
## 1900 9.90 82 6.8 584.396214 3593648.00
## 1901 5.24 97 0.1 1172.384300 74569867.00
## 1902 6.17 99 0.1 94.772600 38141267.00
## 1903 2.62 45 3.6 1186.113250 1117749.00
## 1904 7.58 99 0.1 NA NA
## 1905 4.20 47 4.5 377.132274 4515392.00
## 1906 4.13 98 0.1 7165.277500 169271.00
## 1907 4.60 99 0.1 4353.121392 86786.00
## 1908 7.15 45 1.6 25.383731 13618449.00
## 1909 8.23 98 0.1 28482.694800 44397319.00
## 1910 5.00 96 2.0 749.626612 1277837.00
## 1911 11.17 92 0.1 42889.881410 NA
## 1912 9.39 94 0.1 1291.435000 579623.00
## 1913 2.65 99 0.1 4159.865200 NA
## 1914 6.52 68 36.7 453.351155 12633897.00
## 1915 6.86 9 9.4 NA NA
## 1916 7.12 89 34.1 915.775754 1965662.00
## 1917 11.53 93 0.1 3997.256240 NA
## 1918 6.80 86 49.1 2873.862141 115873.00
## 1919 5.38 38 2.1 526.168743 16983266.00
## 1920 NA 97 0.1 NA NA
## 1921 4.66 89 0.3 152.443873 14546111.00
## 1922 4.77 98 0.1 562.549434 NA
## 1923 5.40 69 0.1 NA NA
## 1924 NA 42 0.8 47.543235 NA
## 1925 1.22 97 0.1 24275.242600 6185267.00
## 1926 6.69 98 0.1 NA NA
## 1927 6.90 92 0.2 NA NA
## 1928 9.91 93 0.1 37813.234260 718425.00
## 1929 5.40 49 0.1 335.112838 184826.00
## 1930 3.90 92 0.1 18555.566490 NA
## 1931 8.80 97 0.1 35578.736190 4595416.00
## 1932 5.50 99 0.1 NA NA
## 1933 8.80 9 0.1 2169.921000 19153.00
## 1934 11.14 95 0.1 554.715320 8479375.00
## 1935 7.21 95 0.1 547.851700 39113313.00
## 1936 4.55 95 0.1 3843.591213 289359.00
## 1937 5.75 46 4.1 768.176767 717584.00
## 1938 7.82 89 0.1 5245.187372 438794.00
## 1939 11.20 99 0.1 473.342790 6527512.00
## 1940 5.87 77 5.8 NA NA
## 1941 14.55 94 0.1 NA NA
## 1942 9.21 83 0.1 7669.273916 3757452.00
## 1943 4.26 85 0.4 5968.876767 115495.00
## 1944 1.98 75 0.1 78.927440 21154429.00
## 1945 1.18 93 14.9 42.737966 1471462.00
## 1946 7.91 87 0.1 251.242600 5694218.00
## 1947 3.61 97 0.1 7269.171140 26625845.00
## 1948 2.72 94 0.1 31311.359360 NA
## 1949 6.40 94 0.1 7891.299776 953579.00
## 1950 1.50 92 0.1 2964.477340 3926.00
## 1951 2.85 99 0.1 27965.475400 NA
## 1952 4.45 55 0.1 2351.338140 178781.00
## 1953 2.97 96 1.6 276.758960 39697.00
## 1954 4.78 79 0.8 229.953640 7592865.00
## 1955 4.76 98 0.1 9291.227619 1255882.00
## 1956 8.18 83 18.2 429.158343 11421984.00
## 1957 3.70 46 3.9 2996.964320 17182933.00
## 1958 5.43 98 0.1 NA NA
## 1959 6.47 9 0.2 1458.879600 1321618.00
## 1960 6.92 95 0.1 7318.742449 6279.00
## 1961 5.86 96 0.3 335.786541 1396748.00
## 1962 11.00 95 0.1 69672.471000 7743831.00
## 1963 5.64 98 0.1 3778.184171 129887.00
## 1964 5.71 99 0.1 4437.178680 295195.00
## 1965 9.76 99 0.1 2971.973000 111717.00
## 1966 5.81 96 0.3 83.476942 26868.00
## 1967 5.12 7 26.8 414.796232 13124267.00
## 1968 9.16 83 0.1 6432.216537 1593112.00
## 1969 7.80 95 0.1 NA NA
## 1970 6.42 91 0.1 7378.345289 62181.00
## 1971 6.60 95 0.1 1894.548500 13379.00
## 1972 NA 92 0.1 5734.443600 33815.00
## 1973 NA 33 0.8 NA NA
## 1974 3.70 78 3.5 39.484473 19924522.00
## 1975 4.79 94 0.1 12245.256450 42981515.00
## 1976 7.50 72 3.7 965.669378 79628.00
## 1977 8.78 97 0.1 3385.696650 6489822.00
## 1978 7.78 96 0.1 5553.326230 4617225.00
## 1979 6.87 94 0.1 NA NA
## 1980 5.23 96 3.4 987.445397 42486839.00
## 1981 1.54 99 0.1 4474.571700 11128246.00
## 1982 7.43 99 0.1 NA NA
## 1983 5.82 8 0.2 287.415600 2539449.00
## 1984 3.35 94 0.1 2835.973972 816628.00
## 1985 8.15 95 0.1 52567.525680 4576794.00
## 1986 8.50 95 0.1 18169.189100 2474.00
## 1987 5.69 97 0.1 8318.429294 9474511.00
## 1988 6.70 98 0.1 NA NA
## 1989 8.30 76 0.1 2187.794690 41458.00
## 1990 3.89 74 1.2 NA NA
## 1991 5.47 97 0.1 4676.315183 21319685.00
## 1992 5.83 94 0.1 7863.162900 3322528.00
## 1993 NA 87 6.2 118.693830 15777451.00
## 1994 8.29 92 1.4 1157.342700 733821.00
## 1995 5.10 97 0.1 NA NA
## 1996 2.59 38 2.4 NA NA
## 1997 8.70 81 0.1 712.775759 411147.00
## 1998 NA 95 0.1 13666.583360 1977527.00
## 1999 NA 99 0.2 13566.954100 NA
## 2000 3.70 99 0.1 268.123657 149918.00
## 2001 4.44 96 0.1 1336.775376 29181832.00
## 2002 5.18 84 6.7 1233.524316 18978.00
## 2003 5.64 73 13.4 256.441487 18588758.00
## 2004 5.36 93 0.3 4166.933870 29157.00
## 2005 3.98 5 0.1 NA NA
## 2006 7.90 85 0.1 1461.755200 376676.00
## 2007 4.29 73 13.2 458.884355 3574931.00
## 2008 7.84 99 0.1 1448.879580 9971727.00
## 2009 6.36 98 0.7 368.689980 465935.00
## 2010 4.85 94 0.1 4498.957270 1388115.00
## 2011 7.15 98 0.1 4256.912790 1761467.00
## 2012 4.28 97 0.1 174.669200 19228.00
## 2013 5.12 83 0.1 1253.391430 17415266.00
## 2014 4.32 52 0.1 NA NA
## 2015 4.41 6 3.9 465.311876 926344.00
## 2016 3.93 96 0.1 53166.675810 NA
## 2017 1.15 93 0.1 23687.316890 82349925.00
## 2018 6.76 95 0.1 NA NA
## 2019 9.12 92 0.1 28585.925400 284968.00
## 2020 6.10 83 0.2 829.758688 76569.00
## 2021 3.61 96 0.1 3658.638320 821817.00
## 2022 6.78 83 0.6 3595.885500 498946.00
## 2023 1.20 94 0.1 5458.121718 7381579.00
## 2024 3.66 95 0.1 33579.859480 NA
## 2025 5.58 76 6.9 566.513873 2567666.00
## 2026 4.60 94 0.4 218.259970 26937738.00
## 2027 8.32 93 0.1 23465.385590 198954.00
## 2028 8.35 95 0.2 1821.878734 191266.00
## 2029 8.25 98 0.1 35275.228430 1281.00
## 2030 2.61 65 0.1 51.656816 14161437.00
## 2031 9.21 95 0.1 56249.755500 296734.00
## 2032 NA 3 0.9 NA NA
## 2033 NA 92 0.1 NA NA
## 2034 13.71 77 0.1 NA NA
## 2035 NA 47 4.4 348.381417 45461.00
## 2036 6.88 84 0.4 1753.349471 125478.00
## 2037 5.81 98 0.1 571.518830 2443659.00
## 2038 4.60 94 0.1 6269.581230 NA
## 2039 5.17 76 0.1 NA NA
## 2040 9.56 91 0.1 31979.871950 31995.00
## 2041 2.52 98 0.1 22134.916000 NA
## 2042 2.86 81 10.0 8352.817110 1489193.00
## 2043 6.59 66 1.5 835.889980 1554989.00
## 2044 9.15 97 0.1 1889.213962 5396774.00
## 2045 7.46 93 0.8 2576.124957 746314.00
## 2046 5.89 9 0.2 681.792587 27649925.00
## 2047 4.18 67 1.1 1366.879112 718239.00
## 2048 4.10 38 2.6 1443.991929 19552542.00
## 2049 6.83 99 0.1 NA NA
## 2050 6.66 75 0.7 375.581987 1764636.00
## 2051 13.76 84 0.1 NA NA
## 2052 3.16 98 0.1 17959.178540 NA
## 2053 8.84 97 0.5 1815.489496 83521.00
## 2054 5.25 95 5.5 7645.214690 251339.00
## 2055 1.60 79 0.1 1214.556667 92325.00
## 2056 9.15 97 0.4 2136.773950 8657785.00
## 2057 5.20 64 0.1 4234.554443 189194.00
## 2058 7.72 88 3.5 147.586896 8942.00
## 2059 4.71 96 13.4 5714.479370 1914414.00
## 2060 6.65 98 0.9 199.571460 17813.00
## 2061 3.00 59 0.1 2351.812429 27697912.00
## 2062 7.11 86 0.8 788.632653 723868.00
## 2063 2.82 59 2.7 33.424498 9679745.00
## 2064 12.25 65 2.2 287.689194 5658379.00
## 2065 1.63 97 0.1 NA NA
## 2066 2.51 98 0.1 9344.987518 NA
## 2067 6.25 63 2.2 391.791281 125128.00
## 2068 1.28 93 0.1 38538.644470 7229854.00
## 2069 11.97 98 0.1 6283.245220 96379.00
## 2070 4.68 82 18.1 43.979713 3145483.00
## 2071 NA 95 0.3 4136.689919 768514.00
## 2072 2.12 79 0.3 NA NA
## 2073 7.60 99 0.1 4623.467120 121971.00
## 2074 6.30 83 0.1 1298.867660 122535969.00
## 2075 7.70 99 0.1 3623.476670 184738458.00
## 2076 4.36 95 0.1 1286.565110 17289224.00
## 2077 11.14 95 9.0 1281.516000 289928.00
## 2078 1.86 94 0.1 54797.546630 7437115.00
## 2079 2.61 72 0.1 1316.989660 185546257.00
## 2080 8.65 99 0.1 8553.384700 194895996.00
## 2081 7.46 96 0.1 27795.876710 74856.00
## 2082 NA 98 0.1 1922.413880 587482.00
## 2083 6.32 99 0.1 197.551233 32432.00
## 2084 8.68 89 0.1 44333.851800 32716.00
## 2085 5.43 39 3.1 177.285187 362863.00
## 2086 3.63 96 0.1 23573.628400 NA
## 2087 6.70 95 0.1 2741.115420 NA
## 2088 4.99 86 4.3 1738.882200 1562974.00
## 2089 11.83 38 1.5 227.779471 4739147.00
## 2090 3.56 98 0.8 1432.227943 26962563.00
## 2091 4.94 49 3.1 297.751944 1243229.00
## 2092 8.86 9 0.1 52473.113560 327386.00
## 2093 8.15 98 0.1 32816.168800 521314.00
## 2094 7.63 94 0.1 8161.369660 479947.00
## 2095 5.92 85 1.2 6858.163158 515148.00
## 2096 2.71 98 0.1 23792.677000 NA
## 2097 8.91 75 0.1 5424.223560 3863267.00
## 2098 6.25 99 0.9 879.475486 48225.00
## 2099 3.50 99 0.1 382.549940 2771.00
## 2100 9.12 96 0.1 4461.892510 318499.00
## 2101 9.90 95 0.1 5821.353970 73287.00
## 2102 5.48 78 0.1 253.724120 2495623.00
## 2103 4.69 81 7.2 12.989164 17899562.00
## 2104 2.71 81 0.3 3634.276850 24577511.00
## 2105 3.42 39 3.1 986.131770 13133589.00
## 2106 11.30 95 0.1 4792.652880 89825.00
## 2107 9.00 85 0.1 734.949246 85858.00
## 2108 6.60 41 5.1 462.486524 85492.00
## 2109 6.61 95 0.1 7296.122479 7492561.00
## 2110 5.78 92 0.4 19152.531000 1341588.00
## 2111 4.46 65 1.8 NA NA
## 2112 6.47 66 1.5 777.347687 16667.00
## 2113 9.58 97 0.1 4457.676390 1287.00
## 2114 9.14 85 0.1 2599.596259 6127837.00
## 2115 2.23 76 0.1 747.981745 2145652.00
## 2116 6.90 98 0.1 NA NA
## 2117 9.51 96 0.1 4458.776400 539574.00
## 2118 8.17 94 0.1 962.312164 335824.00
## 2119 3.89 54 0.1 48.615520 923825.00
## 2120 5.84 82 0.2 393.884352 26214847.00
## 2121 9.66 88 0.1 8199.414621 454528.00
## 2122 7.43 96 0.1 NA NA
## 2123 3.40 79 0.1 NA 2325443.00
## 2124 9.40 98 0.1 1975.464770 613997.00
## 2125 4.10 97 0.1 1779.496410 2917456.00
## 2126 6.22 84 0.6 527.920000 5437.00
## 2127 5.61 88 0.1 2892.522663 11689.00
## 2128 4.17 88 5.0 92.816252 423724.00
## 2129 4.32 68 0.1 621.933720 611627.00
## 2130 6.10 9 0.2 NA NA
## 2131 5.66 99 0.1 4414.723140 289592.00
## 2132 6.71 82 0.3 171.771491 1228848.00
## 2133 5.80 65 0.1 3942.982700 187665.00
## 2134 6.88 95 6.8 111.227396 155456.00
## 2135 6.38 93 0.1 19941.455320 1314545.00
## 2136 5.79 82 2.4 38.465780 8832285.00
## 2137 5.30 84 0.1 1842.444210 99184.00
## 2138 11.33 99 0.1 4381.288000 65342776.00
## 2139 11.25 94 0.1 61191.192630 5614932.00
## 2140 3.37 97 0.1 216.681584 19968.00
## 2141 3.81 98 0.1 837.699787 18797.00
## 2142 4.80 98 2.3 3719.973510 2728777.00
## 2143 8.45 92 0.1 3416.714830 23948.00
## 2144 6.93 97 0.1 NA NA
## 2145 2.91 72 0.1 1586.254000 22983822.00
## 2146 3.46 97 0.1 586.836400 NA
## 2147 5.91 79 0.1 2472.197831 443958.00
## 2148 4.75 91 0.1 263.272360 9882.00
## 2149 3.80 99 0.1 8476.615110 NA
## 2150 11.70 98 0.1 59593.287110 9449213.00
## 2151 1.53 97 0.1 5354.653600 1669374.00
## 2152 3.96 82 4.9 1295.649726 252447.00
## 2153 6.17 97 0.1 3572.851300 233717.00
## 2154 3.86 89 0.3 193.741571 12852755.00
## 2155 3.23 74 1.3 1167.535689 347541.00
## 2156 3.58 42 7.3 449.961839 44423.00
## 2157 5.41 64 5.0 393.313824 135345.00
## 2158 7.76 99 0.1 NA NA
## 2159 NA 99 0.1 3844.891230 2966.00
## 2160 11.15 96 0.1 522.951116 3325612.00
## 2161 NA 99 0.1 869.211938 137122.00
## 2162 4.23 4 4.1 135.762386 7462445.00
## 2163 9.30 95 0.1 3743.956930 1376133.00
## 2164 6.27 97 0.1 189.681557 339616.00
## 2165 7.88 85 0.1 NA NA
## 2166 7.44 99 0.1 28951.155560 113562.00
## 2167 4.20 9 1.9 21.768798 3614639.00
## 2168 4.49 92 0.6 1495.963370 133144.00
## 2169 7.92 92 0.1 1158.282672 51679.00
## 2170 4.48 81 0.1 148.852738 1786638.00
## 2171 5.84 99 0.1 25.448414 37577.00
## 2172 1.70 97 0.1 23196.183750 155756.00
## 2173 1.57 98 0.1 45413.657100 6437499.00
## 2174 6.74 74 1.6 689.678423 14138216.00
## 2175 5.17 91 0.8 1373.515636 45216.00
## 2176 8.25 89 0.1 2775.895150 NA
## 2177 6.26 97 0.1 1175.788981 38927.00
## 2178 6.20 95 0.1 NA NA
## 2179 5.20 91 0.1 12969.771200 4296739.00
## 2180 4.83 98 0.5 1996.719689 25914879.00
## 2181 7.00 97 0.1 NA NA
## 2182 6.79 87 0.4 277.834380 139628.00
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 NA NA 0.461
## 2 1.3 1.3 0.895
## 3 6.9 6.8 0.521
## 4 1.2 1.2 0.315
## 5 18.3 18.8 0.565
## 6 1.1 1.0 0.881
## 7 2.2 2.1 0.614
## 8 0.3 0.2 0.902
## 9 1.2 1.1 0.895
## 10 0.8 0.8 0.830
## 11 3.4 3.2 0.771
## 12 5.7 5.9 0.779
## 13 9.4 9.3 0.363
## 14 5.1 4.9 0.818
## 15 6.2 6.1 0.575
## 16 5.7 5.5 0.620
## 17 6.7 6.5 0.652
## 18 1.5 1.4 0.580
## 19 7.3 7.2 0.542
## 20 1.1 1.1 0.708
## 21 0.1 0.1 0.586
## 22 15.6 16.3 0.584
## 23 5.1 4.7 0.843
## 24 4.0 4.0 0.543
## 25 2.3 2.4 0.819
## 26 7.2 7.2 0.740
## 27 13.2 13.5 0.474
## 28 3.8 3.8 0.792
## 29 14.5 14.6 0.617
## 30 0.1 0.1 0.698
## 31 0.9 1.0 0.790
## 32 1.1 9.9 0.521
## 33 5.9 5.4 0.846
## 34 13.7 13.5 0.500
## 35 2.1 2.1 0.784
## 36 2.3 2.4 0.730
## 37 6.3 6.1 0.553
## 38 9.0 8.9 0.625
## 39 4.0 3.7 0.704
## 40 1.8 1.8 0.620
## 41 3.8 3.8 0.741
## 42 1.2 1.1 0.649
## 43 5.5 5.3 0.614
## 44 2.5 2.5 0.788
## 45 3.9 3.9 0.771
## 46 2.0 1.9 0.682
## 47 8.6 8.5 0.432
## 48 2.5 2.7 0.798
## 49 2.4 2.2 0.658
## 50 9.3 9.1 0.724
## 51 1.7 1.9 0.837
## 52 9.5 9.3 NA
## 53 2.8 2.9 0.708
## 54 16.6 17.3 0.000
## 55 7.6 7.5 0.454
## 56 1.2 1.1 0.440
## 57 6.0 5.9 0.690
## 58 3.5 3.4 0.700
## 59 2.3 2.3 0.799
## 60 1.4 1.2 0.620
## 61 8.3 8.5 0.706
## 62 1.7 1.6 0.750
## 63 0.8 0.6 NA
## 64 9.0 9.2 0.506
## 65 0.1 0.1 0.683
## 66 1.0 0.9 0.866
## 67 1.3 1.0 0.862
## 68 5.9 5.4 0.845
## 69 9.0 9.0 0.406
## 70 1.0 9.7 0.646
## 71 4.8 4.5 0.830
## 72 8.7 8.6 0.366
## 73 19.7 19.9 0.373
## 74 3.4 3.6 NA
## 75 1.0 9.7 0.622
## 76 0.7 0.7 0.934
## 77 5.6 5.4 0.467
## 78 15.3 15.5 0.677
## 79 3.9 3.9 0.737
## 80 5.6 5.4 0.618
## 81 1.1 1.1 0.877
## 82 9.4 9.7 0.640
## 83 1.4 1.5 0.793
## 84 2.2 2.3 0.815
## 85 3.5 3.3 0.692
## 86 4.3 4.3 0.735
## 87 4.5 4.5 0.450
## 88 9.9 9.9 0.329
## 89 5.8 5.5 0.719
## 90 6.9 6.8 0.765
## 91 8.3 8.3 0.372
## 92 11.6 11.9 0.401
## 93 3.2 3.4 NA
## 94 0.7 0.7 0.941
## 95 2.0 1.9 0.597
## 96 5.5 5.3 0.633
## 97 2.5 2.5 0.788
## 98 7.3 7.3 0.414
## 99 0.2 0.1 0.572
## 100 5.7 6.1 0.762
## 101 7.6 7.3 0.581
## 102 6.6 6.4 NA
## 103 0.7 0.5 NA
## 104 0.7 0.7 0.899
## 105 11.4 11.3 0.415
## 106 0.9 1.0 0.815
## 107 1.4 1.3 0.477
## 108 0.7 0.6 0.894
## 109 5.9 6.3 0.728
## 110 1.2 1.1 0.554
## 111 2.6 2.8 0.742
## 112 8.8 8.5 0.496
## 113 7.1 6.9 0.795
## 114 11.6 11.7 0.445
## 115 2.1 2.1 0.654
## 116 2.8 2.9 0.728
## 117 0.2 0.1 NA
## 118 0.8 0.7 0.821
## 119 1.5 1.5 0.780
## 120 0.2 0.2 0.688
## 121 0.2 0.1 0.700
## 122 3.5 3.5 0.723
## 123 0.8 0.7 0.860
## 124 2.6 2.6 0.717
## 125 21.8 22.2 0.457
## 126 0.3 0.2 0.880
## 127 13.2 13.4 0.493
## 128 7.8 7.6 0.550
## 129 2.6 2.8 0.734
## 130 4.8 4.5 0.808
## 131 2.6 2.8 0.735
## 132 1.7 1.9 0.860
## 133 8.6 8.8 0.502
## 134 6.6 6.5 0.540
## 135 7.7 7.6 0.388
## 136 2.5 2.2 0.659
## 137 0.8 0.6 NA
## 138 7.2 7.3 0.761
## 139 13.3 13.6 0.445
## 140 0.9 1.0 0.849
## 141 1.1 1.0 0.333
## 142 6.5 6.3 0.624
## 143 0.8 0.7 NA
## 144 13.7 13.7 0.559
## 145 8.8 8.6 0.646
## 146 1.5 1.3 0.906
## 147 9.4 9.4 0.407
## 148 11.2 11.0 0.298
## 149 2.1 2.2 0.822
## 150 9.1 9.3 0.666
## 151 6.5 6.4 0.531
## 152 0.9 0.9 0.796
## 153 3.5 4.0 0.722
## 154 0.9 0.9 0.877
## 155 6.6 6.5 0.646
## 156 1.7 1.4 0.866
## 157 0.1 0.1 0.693
## 158 4.9 4.9 NA
## 159 6.5 6.4 0.722
## 160 5.2 4.9 0.813
## 161 5.3 5.3 NA
## 162 2.4 2.5 0.807
## 163 3.6 3.4 0.686
## 164 1.1 1.1 0.877
## 165 18.3 19.0 0.446
## 166 15.3 15.3 0.746
## 167 1.5 1.5 0.312
## 168 0.6 0.5 0.871
## 169 8.6 8.5 0.456
## 170 1.5 1.0 NA
## 171 1.9 1.8 0.785
## 172 7.7 7.7 0.738
## 173 11.3 11.5 0.495
## 174 7.3 7.3 0.742
## 175 2.3 2.2 0.646
## 176 2.5 2.4 0.577
## 177 1.0 9.7 0.625
## 178 1.3 1.4 0.292
## 179 1.8 1.7 0.738
## 180 7.8 7.6 0.845
## 181 8.3 8.3 0.596
## 182 2.0 1.9 0.628
## 183 7.8 7.8 0.396
## 184 0.9 0.8 0.878
## 185 7.8 7.7 0.491
## 186 5.7 6.0 0.766
## 187 2.0 1.8 0.680
## 188 6.1 5.9 0.813
## 189 1.7 1.3 0.000
## 190 1.7 1.7 0.768
## 191 0.8 0.5 NA
## 192 3.9 3.9 0.737
## 193 1.0 9.9 0.463
## 194 3.4 3.4 0.685
## 195 7.7 7.6 0.500
## 196 3.9 3.3 0.703
## 197 1.3 1.2 0.698
## 198 3.2 3.3 0.632
## 199 1.6 1.5 0.770
## 200 8.3 8.2 0.506
## 201 3.2 3.1 0.636
## 202 1.3 1.3 0.890
## 203 9.4 9.6 0.516
## 204 8.5 8.2 0.517
## 205 2.9 2.8 0.724
## 206 7.9 7.8 0.448
## 207 3.7 3.6 0.678
## 208 5.1 5.0 0.668
## 209 4.9 5.9 0.660
## 210 2.0 2.0 0.775
## 211 8.7 8.3 0.507
## 212 6.4 6.1 0.698
## 213 7.0 6.9 0.479
## 214 1.5 1.4 0.306
## 215 2.7 2.8 0.755
## 216 7.1 6.9 0.646
## 217 12.8 13.0 0.552
## 218 1.7 1.6 0.738
## 219 5.7 5.5 0.727
## 220 3.2 3.3 0.000
## 221 2.2 2.2 0.814
## 222 8.4 8.4 0.376
## 223 3.4 3.4 0.000
## 224 0.2 0.2 0.671
## 225 5.7 6.1 0.744
## 226 1.9 1.8 0.703
## 227 7.9 7.8 0.443
## 228 3.2 3.2 0.620
## 229 3.3 3.3 0.647
## 230 0.6 0.6 0.927
## 231 1.7 1.6 0.803
## 232 8.0 8.0 0.385
## 233 5.4 5.1 0.643
## 234 6.8 6.7 NA
## 235 11.2 11.3 0.618
## 236 0.2 0.2 0.629
## 237 11.0 11.2 0.434
## 238 2.0 2.0 0.836
## 239 5.6 5.5 0.460
## 240 2.0 1.9 0.756
## 241 2.7 2.9 0.714
## 242 5.4 5.6 0.523
## 243 5.2 5.2 NA
## 244 6.7 6.5 0.426
## 245 7.8 7.9 0.660
## 246 1.9 1.8 0.567
## 247 3.6 3.6 0.593
## 248 7.5 7.4 NA
## 249 1.9 1.9 0.787
## 250 2.0 2.0 0.795
## 251 5.2 4.9 0.855
## 252 1.5 1.4 0.439
## 253 2.8 2.7 0.551
## 254 0.2 0.2 0.659
## 255 2.3 2.4 0.637
## 256 14.3 14.5 0.622
## 257 3.3 3.2 0.788
## 258 5.5 5.3 0.565
## 259 4.7 4.6 0.000
## 260 5.1 5.2 NA
## 261 0.3 0.2 0.908
## 262 NA NA 0.409
## 263 3.6 3.7 0.617
## 264 3.0 3.2 NA
## 265 3.2 3.6 0.766
## 266 1.5 1.5 0.582
## 267 2.5 2.6 0.000
## 268 0.4 0.3 0.936
## 269 1.7 1.6 0.000
## 270 2.4 2.5 0.793
## 271 0.5 0.4 0.920
## 272 1.3 1.2 0.710
## 273 4.9 4.7 0.754
## 274 13.9 13.8 0.475
## 275 3.9 3.8 0.730
## 276 2.9 2.9 0.671
## 277 5.4 5.2 0.603
## 278 1.9 1.8 0.694
## 279 6.4 6.3 0.575
## 280 16.1 16.7 0.581
## 281 5.6 5.4 0.603
## 282 15.7 16.1 0.555
## 283 0.2 0.2 0.625
## 284 17.3 18.1 0.000
## 285 9.3 9.3 0.405
## 286 7.6 7.6 0.000
## 287 1.0 0.9 0.906
## 288 0.3 0.2 0.889
## 289 4.9 4.8 0.764
## 290 3.0 3.1 0.697
## 291 4.2 4.2 0.000
## 292 1.0 0.9 0.823
## 293 1.2 1.1 0.000
## 294 2.1 2.0 0.820
## 295 8.6 8.5 0.489
## 296 3.5 3.4 0.000
## 297 5.8 5.6 0.613
## 298 NA NA 0.000
## 299 1.3 1.3 0.470
## 300 6.9 7.1 0.371
## 301 6.5 6.4 0.662
## 302 0.1 0.1 0.581
## 303 0.9 1.0 0.836
## 304 1.6 1.6 0.000
## 305 5.1 4.9 0.831
## 306 15.3 15.2 0.752
## 307 2.8 2.9 0.703
## 308 1.9 1.8 0.780
## 309 0.6 0.5 0.825
## 310 2.0 2.0 0.787
## 311 4.8 4.7 0.000
## 312 2.7 2.7 0.676
## 313 1.0 0.9 0.889
## 314 5.9 5.9 0.485
## 315 0.7 0.5 0.824
## 316 0.1 0.1 NA
## 317 4.9 4.7 0.715
## 318 15.4 15.5 0.718
## 319 8.9 8.9 0.572
## 320 7.1 7.0 0.467
## 321 2.1 2.1 0.662
## 322 2.7 21.1 0.513
## 323 2.1 2.1 0.623
## 324 5.9 6.2 0.774
## 325 1.2 1.0 0.776
## 326 2.3 2.5 0.338
## 327 6.1 6.0 0.820
## 328 9.9 9.9 0.503
## 329 4.9 4.8 0.709
## 330 9.9 9.9 0.315
## 331 4.8 4.8 0.766
## 332 0.9 0.8 0.869
## 333 9.8 9.6 0.715
## 334 2.1 2.7 0.491
## 335 NA NA 0.000
## 336 0.6 0.5 0.858
## 337 2.3 2.3 0.597
## 338 1.1 1.2 0.512
## 339 3.4 3.4 0.706
## 340 7.4 7.5 0.452
## 341 12.1 12.0 0.270
## 342 13.0 13.2 0.533
## 343 5.1 4.9 0.824
## 344 2.4 2.5 0.754
## 345 4.3 4.3 0.455
## 346 1.7 1.5 0.870
## 347 19.2 19.3 0.405
## 348 2.5 2.5 0.788
## 349 15.4 15.5 0.725
## 350 7.7 7.8 0.666
## 351 0.3 0.3 0.899
## 352 6.7 6.6 0.518
## 353 2.0 2.1 0.668
## 354 18.8 18.9 0.433
## 355 1.7 1.7 0.775
## 356 3.5 3.4 0.700
## 357 1.3 1.3 0.453
## 358 8.5 8.4 0.398
## 359 1.2 1.2 0.842
## 360 14.1 14.2 0.651
## 361 0.8 0.7 0.948
## 362 0.5 0.6 0.877
## 363 6.5 6.4 0.561
## 364 1.9 11.1 0.603
## 365 2.5 2.6 0.000
## 366 5.4 5.1 0.636
## 367 3.4 3.2 0.732
## 368 2.8 3.0 0.694
## 369 2.2 2.2 0.611
## 370 7.1 7.1 0.636
## 371 8.9 8.8 0.404
## 372 2.2 2.7 0.521
## 373 13.6 13.6 0.701
## 374 0.8 0.5 NA
## 375 1.6 1.5 0.808
## 376 1.2 1.2 0.614
## 377 0.3 0.3 0.862
## 378 11.3 11.0 0.362
## 379 8.5 8.3 0.487
## 380 11.4 11.3 0.293
## 381 1.7 1.4 0.860
## 382 7.1 7.0 0.436
## 383 1.0 9.7 0.636
## 384 0.8 0.8 0.847
## 385 1.3 1.2 0.702
## 386 3.3 3.4 0.656
## 387 1.6 1.7 0.427
## 388 1.4 1.2 0.682
## 389 7.8 7.6 0.451
## 390 1.0 1.0 0.895
## 391 1.6 1.6 0.713
## 392 7.0 6.9 NA
## 393 4.8 4.5 0.807
## 394 1.7 1.4 0.863
## 395 2.3 2.3 0.746
## 396 0.7 0.6 0.792
## 397 1.8 1.8 0.714
## 398 6.3 5.8 0.837
## 399 0.8 0.8 0.820
## 400 0.8 0.7 0.826
## 401 7.8 7.8 0.421
## 402 1.5 1.0 NA
## 403 1.3 1.3 0.898
## 404 2.1 2.2 0.755
## 405 3.5 3.4 0.799
## 406 3.5 3.3 0.694
## 407 1.9 1.9 0.629
## 408 1.2 1.1 0.636
## 409 7.5 7.4 0.818
## 410 1.5 1.5 0.459
## 411 3.2 3.0 0.791
## 412 4.8 4.5 0.809
## 413 5.5 5.3 0.636
## 414 1.5 1.4 0.607
## 415 1.8 1.7 0.642
## 416 1.7 1.5 0.444
## 417 0.7 0.6 0.921
## 418 7.3 7.2 0.508
## 419 3.6 3.6 0.000
## 420 7.2 7.0 0.465
## 421 13.6 13.4 0.499
## 422 3.8 3.8 0.736
## 423 3.2 3.7 0.755
## 424 3.2 3.3 0.000
## 425 1.7 1.9 0.872
## 426 7.9 7.9 0.319
## 427 2.5 2.7 0.784
## 428 2.2 2.3 0.798
## 429 3.4 3.3 0.719
## 430 17.6 18.2 0.469
## 431 8.3 8.2 0.531
## 432 8.1 8.1 0.377
## 433 17.9 18.3 0.575
## 434 18.9 19.6 0.000
## 435 7.4 7.4 0.804
## 436 6.2 6.0 0.794
## 437 5.1 5.2 0.526
## 438 7.6 7.7 0.318
## 439 0.1 0.1 NA
## 440 3.5 3.4 0.612
## 441 2.8 3.0 NA
## 442 2.2 2.2 0.812
## 443 2.0 1.7 0.899
## 444 3.4 3.3 0.796
## 445 7.5 7.4 0.504
## 446 0.1 0.1 0.718
## 447 8.8 8.5 0.396
## 448 6.3 6.2 0.669
## 449 1.0 1.1 0.494
## 450 2.0 2.1 NA
## 451 13.1 13.4 0.504
## 452 7.5 7.8 0.704
## 453 5.6 5.5 0.451
## 454 3.0 3.1 0.673
## 455 4.7 4.7 0.752
## 456 0.8 0.8 0.861
## 457 1.5 1.5 0.820
## 458 4.1 4.1 0.535
## 459 0.2 0.2 0.677
## 460 4.0 4.0 0.700
## 461 0.2 0.2 0.640
## 462 3.0 3.3 0.795
## 463 3.6 3.7 0.625
## 464 5.5 5.4 0.748
## 465 9.2 9.1 0.426
## 466 7.5 7.5 NA
## 467 1.2 1.1 0.771
## 468 6.4 5.9 0.834
## 469 8.0 7.8 0.536
## 470 2.1 2.1 0.767
## 471 9.0 8.6 0.497
## 472 8.1 8.1 NA
## 473 1.0 1.0 0.890
## 474 2.0 1.9 0.692
## 475 9.3 8.8 0.356
## 476 2.6 2.6 0.720
## 477 7.7 7.6 0.394
## 478 4.7 4.7 0.746
## 479 4.0 3.9 0.766
## 480 5.7 5.6 0.483
## 481 3.6 3.5 0.000
## 482 2.9 3.0 0.812
## 483 5.7 6.1 0.755
## 484 2.1 1.9 0.712
## 485 1.0 0.9 0.923
## 486 7.7 7.7 0.361
## 487 7.2 7.3 0.452
## 488 11.1 1.9 NA
## 489 16.9 17.4 0.502
## 490 1.8 1.7 0.435
## 491 2.4 2.5 0.734
## 492 2.1 2.2 0.812
## 493 13.5 16.1 0.613
## 494 1.3 1.3 0.596
## 495 4.0 3.7 0.706
## 496 1.4 1.3 0.542
## 497 6.8 6.7 0.643
## 498 0.3 0.2 0.907
## 499 2.5 2.6 0.725
## 500 1.8 1.7 0.630
## 501 14.7 15.7 0.633
## 502 19.5 2.1 0.513
## 503 8.8 8.6 0.508
## 504 5.6 5.3 0.607
## 505 1.5 1.4 0.592
## 506 0.7 0.6 NA
## 507 2.1 1.9 0.724
## 508 8.1 8.0 0.602
## 509 6.9 6.8 0.554
## 510 5.2 5.0 0.808
## 511 8.1 8.0 0.473
## 512 3.8 3.8 0.749
## 513 7.4 7.7 0.686
## 514 4.3 4.3 0.735
## 515 1.5 1.0 NA
## 516 2.3 2.4 0.792
## 517 2.4 2.3 0.642
## 518 7.7 7.7 0.000
## 519 4.3 4.4 0.717
## 520 8.9 8.8 0.580
## 521 1.9 2.1 0.850
## 522 0.5 0.5 0.909
## 523 8.8 8.7 0.428
## 524 8.9 8.7 0.476
## 525 3.0 3.1 0.664
## 526 3.4 3.3 0.788
## 527 13.3 13.7 0.417
## 528 1.0 0.9 0.826
## 529 7.7 7.6 NA
## 530 11.7 11.6 0.298
## 531 3.8 3.7 0.353
## 532 7.0 7.0 0.382
## 533 11.6 11.6 0.599
## 534 7.0 7.0 0.765
## 535 3.5 3.4 0.720
## 536 1.7 1.7 0.762
## 537 1.4 1.4 0.564
## 538 6.3 6.3 0.706
## 539 NA NA 0.478
## 540 11.0 1.9 0.291
## 541 8.5 8.4 0.582
## 542 15.4 15.5 0.697
## 543 7.4 7.3 0.451
## 544 2.9 2.9 0.000
## 545 4.0 3.7 0.719
## 546 15.2 15.4 0.556
## 547 15.9 16.5 0.589
## 548 1.1 0.9 0.906
## 549 1.9 1.8 0.644
## 550 5.1 4.9 0.829
## 551 7.7 7.6 0.441
## 552 1.9 2.0 0.852
## 553 7.9 7.7 0.541
## 554 1.6 1.5 0.754
## 555 0.5 0.4 0.897
## 556 9.2 9.2 0.480
## 557 3.8 3.7 0.651
## 558 16.3 19.1 0.635
## 559 8.8 8.7 0.405
## 560 1.7 1.6 0.688
## 561 8.0 7.9 0.405
## 562 6.6 6.6 0.646
## 563 7.1 7.1 NA
## 564 3.2 3.2 0.000
## 565 6.6 6.6 0.427
## 566 2.1 2.1 0.889
## 567 2.7 21.3 0.468
## 568 5.9 5.9 NA
## 569 7.3 7.2 0.459
## 570 4.8 4.9 0.534
## 571 1.9 1.9 0.781
## 572 0.1 0.1 0.589
## 573 1.1 0.9 0.910
## 574 6.8 6.8 0.404
## 575 0.3 0.3 0.873
## 576 9.7 9.7 0.319
## 577 2.3 2.1 0.669
## 578 0.8 0.8 0.869
## 579 7.8 7.6 NA
## 580 1.0 0.9 0.792
## 581 1.3 1.4 0.468
## 582 1.3 1.1 0.331
## 583 7.0 6.8 0.464
## 584 2.1 2.2 0.835
## 585 9.4 9.3 0.562
## 586 0.9 1.0 0.823
## 587 2.1 2.0 0.820
## 588 2.8 2.8 0.688
## 589 5.9 6.3 0.733
## 590 3.4 3.3 0.692
## 591 1.6 1.5 0.579
## 592 2.3 2.5 0.763
## 593 5.7 5.5 0.559
## 594 1.8 1.5 0.880
## 595 1.6 1.5 0.760
## 596 0.2 0.2 0.640
## 597 1.0 1.0 0.854
## 598 0.9 0.8 0.856
## 599 2.0 1.9 0.679
## 600 1.3 1.4 0.813
## 601 0.8 0.7 0.924
## 602 1.0 9.7 0.679
## 603 0.3 0.2 0.920
## 604 0.7 0.7 0.797
## 605 1.3 1.3 0.895
## 606 3.0 3.1 0.673
## 607 9.6 9.5 0.343
## 608 6.6 6.5 0.596
## 609 2.6 2.8 0.749
## 610 6.8 6.7 0.424
## 611 7.8 7.8 0.615
## 612 1.3 1.1 0.725
## 613 0.6 0.5 0.889
## 614 5.7 5.7 0.507
## 615 1.2 1.1 0.878
## 616 5.8 5.8 0.488
## 617 1.9 2.0 NA
## 618 8.5 8.5 0.582
## 619 3.8 3.8 0.739
## 620 8.0 7.9 0.391
## 621 1.7 1.9 0.848
## 622 12.9 13.1 0.547
## 623 5.6 5.5 0.514
## 624 9.5 9.5 0.587
## 625 0.3 0.3 0.895
## 626 0.8 0.8 0.865
## 627 8.1 7.9 0.421
## 628 1.9 1.8 0.740
## 629 0.8 0.7 0.779
## 630 7.9 7.9 NA
## 631 3.9 3.9 0.490
## 632 5.9 5.8 0.602
## 633 8.6 8.6 0.371
## 634 NA NA 0.403
## 635 1.0 0.9 0.874
## 636 0.7 0.5 0.841
## 637 6.7 6.5 NA
## 638 2.5 21.1 0.476
## 639 19.1 19.7 0.523
## 640 14.4 14.5 0.625
## 641 0.6 0.5 0.837
## 642 2.2 2.1 0.917
## 643 6.3 6.3 0.689
## 644 7.4 7.3 0.431
## 645 0.6 0.4 0.895
## 646 1.0 9.7 0.669
## 647 0.7 0.7 0.936
## 648 7.1 7.1 0.511
## 649 5.6 5.4 0.755
## 650 0.5 0.5 0.841
## 651 2.4 2.4 0.723
## 652 5.4 5.1 0.638
## 653 0.9 0.9 0.887
## 654 2.1 2.1 0.746
## 655 3.4 3.3 0.773
## 656 1.0 9.9 0.593
## 657 7.8 7.6 0.779
## 658 1.6 1.5 0.000
## 659 1.5 1.4 0.794
## 660 1.6 1.1 NA
## 661 1.2 1.1 0.883
## 662 0.2 0.2 0.000
## 663 14.5 17.1 0.620
## 664 1.4 1.4 0.570
## 665 5.8 6.0 0.778
## 666 3.3 3.2 0.790
## 667 0.6 0.6 0.890
## 668 6.4 6.3 0.720
## 669 1.8 1.8 0.804
## 670 7.2 7.3 0.773
## 671 0.3 0.3 0.891
## 672 1.1 1.1 0.916
## 673 8.0 8.0 0.673
## 674 5.4 5.4 NA
## 675 19.3 19.9 0.520
## 676 3.5 3.4 0.684
## 677 3.4 3.4 0.705
## 678 3.2 3.1 0.787
## 679 1.9 1.9 0.765
## 680 4.6 4.7 0.444
## 681 11.0 11.2 0.533
## 682 7.9 7.5 0.557
## 683 9.7 9.8 0.509
## 684 0.8 0.7 0.918
## 685 8.1 8.0 0.392
## 686 15.7 16.2 0.596
## 687 1.9 11.0 0.553
## 688 3.3 3.2 0.623
## 689 7.0 6.8 0.742
## 690 7.1 6.9 0.796
## 691 19.0 19.1 0.415
## 692 1.9 1.9 0.863
## 693 1.5 1.4 0.823
## 694 4.1 3.8 0.698
## 695 1.3 1.3 0.602
## 696 1.2 1.3 0.761
## 697 3.6 3.5 0.000
## 698 3.3 3.3 0.607
## 699 7.3 7.2 0.450
## 700 7.4 7.4 0.424
## 701 1.0 9.6 0.618
## 702 3.3 3.3 0.781
## 703 2.2 2.3 0.805
## 704 6.8 6.2 0.819
## 705 1.7 1.6 0.747
## 706 11.1 11.4 0.520
## 707 0.6 0.5 0.877
## 708 8.2 8.1 NA
## 709 3.5 3.5 0.722
## 710 2.5 2.5 0.790
## 711 7.6 7.6 0.385
## 712 5.0 4.6 0.825
## 713 9.1 9.1 0.348
## 714 0.3 0.3 0.857
## 715 1.5 1.5 0.422
## 716 NA NA 0.394
## 717 1.3 1.3 0.589
## 718 19.8 2.2 0.529
## 719 1.1 1.1 0.737
## 720 6.2 6.1 0.673
## 721 4.3 4.2 0.741
## 722 0.8 0.7 0.859
## 723 4.2 3.9 0.687
## 724 6.3 6.3 0.701
## 725 13.7 13.6 0.494
## 726 0.9 1.0 0.829
## 727 5.5 5.3 0.495
## 728 9.5 9.4 0.468
## 729 1.8 1.7 0.725
## 730 5.0 4.8 0.705
## 731 1.9 1.9 0.765
## 732 2.0 2.1 0.787
## 733 9.5 9.3 0.723
## 734 6.1 6.4 0.767
## 735 0.9 0.9 0.884
## 736 0.8 0.7 0.945
## 737 3.8 4.2 0.708
## 738 2.8 2.8 0.716
## 739 0.7 0.5 0.793
## 740 1.7 1.7 0.800
## 741 2.5 2.5 0.790
## 742 5.7 5.5 0.735
## 743 2.0 2.0 0.749
## 744 1.6 1.6 0.676
## 745 2.8 2.7 0.734
## 746 4.8 4.5 0.826
## 747 3.5 3.4 0.668
## 748 3.7 3.8 0.601
## 749 0.2 0.2 0.616
## 750 0.5 0.4 0.898
## 751 9.8 9.3 0.334
## 752 6.8 6.6 0.588
## 753 3.4 3.3 0.705
## 754 3.2 3.1 0.636
## 755 2.4 2.3 0.632
## 756 2.8 2.8 0.742
## 757 2.3 2.5 0.773
## 758 5.8 5.3 0.852
## 759 8.8 8.8 0.361
## 760 8.2 8.2 0.380
## 761 3.5 3.5 0.000
## 762 7.2 7.2 0.509
## 763 0.9 1.0 0.826
## 764 2.3 2.0 0.683
## 765 6.9 7.1 0.502
## 766 5.9 6.0 NA
## 767 8.7 8.6 0.394
## 768 5.9 6.3 0.739
## 769 19.2 19.9 0.000
## 770 13.1 13.1 0.565
## 771 2.1 2.0 0.615
## 772 2.2 2.3 0.729
## 773 6.4 6.3 0.667
## 774 2.0 2.1 0.732
## 775 3.8 3.8 0.000
## 776 NA NA 0.000
## 777 6.1 6.0 0.812
## 778 0.8 0.7 0.931
## 779 6.2 6.2 0.453
## 780 6.6 6.4 0.543
## 781 0.9 0.9 0.847
## 782 2.2 2.3 NA
## 783 8.4 8.2 0.661
## 784 0.1 0.1 0.703
## 785 7.5 7.7 0.679
## 786 2.1 1.8 0.902
## 787 14.0 14.0 0.444
## 788 1.6 1.6 0.714
## 789 3.2 3.1 0.789
## 790 8.1 8.1 0.499
## 791 0.6 0.5 0.849
## 792 1.5 1.3 0.446
## 793 0.2 0.2 0.633
## 794 1.2 1.2 0.609
## 795 3.3 3.3 0.683
## 796 4.0 4.0 0.470
## 797 7.2 7.1 0.640
## 798 2.5 2.5 0.709
## 799 17.5 17.5 0.476
## 800 1.9 1.9 0.700
## 801 6.1 6.1 0.464
## 802 3.8 3.8 0.779
## 803 2.2 2.3 0.693
## 804 7.7 7.6 0.519
## 805 2.4 2.5 0.774
## 806 2.5 2.6 0.588
## 807 8.7 8.7 0.268
## 808 2.2 2.3 0.686
## 809 0.7 0.6 NA
## 810 5.7 5.7 NA
## 811 5.6 5.4 0.470
## 812 2.2 2.3 0.755
## 813 12.0 12.0 0.484
## 814 1.3 1.3 0.465
## 815 8.3 8.1 0.491
## 816 8.3 7.9 0.545
## 817 2.8 2.8 0.686
## 818 NA NA 0.000
## 819 1.7 1.6 0.662
## 820 8.5 8.5 0.370
## 821 3.2 3.3 0.000
## 822 8.6 8.5 0.523
## 823 8.3 8.3 NA
## 824 1.7 1.7 0.869
## 825 5.5 5.2 0.616
## 826 8.0 7.6 0.558
## 827 7.2 6.9 0.000
## 828 2.2 2.2 0.769
## 829 6.1 6.3 0.514
## 830 1.5 1.5 0.308
## 831 1.4 1.3 0.610
## 832 7.4 7.4 0.398
## 833 6.5 6.4 0.464
## 834 2.7 2.9 NA
## 835 1.2 1.2 0.492
## 836 1.7 1.9 0.837
## 837 8.2 8.1 0.466
## 838 13.7 13.8 0.683
## 839 3.5 3.5 0.000
## 840 4.3 4.3 0.541
## 841 6.3 6.2 0.623
## 842 0.8 0.6 NA
## 843 9.7 9.5 NA
## 844 1.7 1.7 0.000
## 845 5.3 5.1 0.649
## 846 0.2 0.2 0.622
## 847 6.3 6.3 0.473
## 848 1.9 2.0 0.833
## 849 11.5 11.4 0.000
## 850 6.5 6.4 0.636
## 851 7.2 7.4 0.343
## 852 2.8 2.9 0.719
## 853 8.5 8.6 0.700
## 854 1.9 1.8 0.607
## 855 1.0 1.0 0.306
## 856 1.8 1.9 NA
## 857 1.0 0.9 0.860
## 858 0.9 1.0 0.844
## 859 3.7 3.7 0.372
## 860 7.0 6.9 0.416
## 861 7.6 7.5 0.503
## 862 1.0 0.9 0.873
## 863 7.8 7.5 0.513
## 864 1.0 0.9 0.922
## 865 3.6 3.5 0.666
## 866 9.0 8.9 0.268
## 867 4.0 3.9 0.706
## 868 7.3 8.9 0.630
## 869 1.5 1.0 NA
## 870 2.0 2.1 0.843
## 871 6.0 5.9 0.705
## 872 2.7 2.7 0.716
## 873 6.3 6.1 0.663
## 874 6.3 6.1 0.646
## 875 0.2 0.2 0.617
## 876 1.8 1.7 0.651
## 877 9.3 9.6 0.649
## 878 0.5 0.3 0.932
## 879 3.1 3.1 0.642
## 880 0.2 0.2 0.641
## 881 0.7 0.5 0.827
## 882 7.0 6.9 0.769
## 883 5.1 4.9 0.823
## 884 19.7 2.3 0.506
## 885 8.5 8.4 0.483
## 886 6.5 6.4 0.459
## 887 6.3 6.3 0.710
## 888 0.1 0.1 0.694
## 889 1.2 1.2 0.693
## 890 1.7 1.9 0.833
## 891 0.8 0.7 0.858
## 892 5.9 5.8 0.396
## 893 0.8 0.6 NA
## 894 1.9 1.9 0.797
## 895 1.1 0.9 0.788
## 896 9.7 9.7 0.439
## 897 5.8 5.6 0.611
## 898 1.0 1.0 0.899
## 899 9.0 8.9 0.402
## 900 0.5 0.5 0.869
## 901 1.2 1.2 0.482
## 902 1.9 1.6 0.411
## 903 5.6 5.4 0.464
## 904 16.1 16.5 0.545
## 905 1.5 1.5 0.777
## 906 1.7 1.9 0.847
## 907 2.1 2.2 0.822
## 908 4.9 4.7 0.000
## 909 1.9 1.9 0.856
## 910 7.2 7.1 0.456
## 911 17.9 18.0 0.463
## 912 5.9 5.8 0.737
## 913 1.5 1.4 0.788
## 914 5.0 4.8 0.687
## 915 1.4 1.3 0.888
## 916 11.3 11.4 0.607
## 917 1.3 1.1 0.447
## 918 2.7 2.7 0.746
## 919 13.3 13.7 0.427
## 920 1.9 1.7 0.718
## 921 7.9 7.9 0.733
## 922 6.0 6.0 0.473
## 923 8.2 8.2 0.414
## 924 0.7 0.5 0.812
## 925 3.5 3.4 0.699
## 926 4.3 4.0 0.683
## 927 2.0 2.0 0.850
## 928 2.5 2.6 0.730
## 929 2.9 2.9 0.716
## 930 4.1 4.1 0.000
## 931 11.0 1.9 0.425
## 932 2.7 2.9 NA
## 933 1.0 9.7 0.648
## 934 5.8 5.9 0.519
## 935 7.1 6.9 NA
## 936 1.6 1.5 0.678
## 937 4.3 4.0 0.681
## 938 0.9 0.8 0.876
## 939 1.5 1.3 0.682
## 940 1.5 1.0 NA
## 941 3.3 3.3 0.782
## 942 8.6 8.5 0.474
## 943 1.8 1.7 0.742
## 944 7.5 7.4 0.366
## 945 1.3 1.3 0.692
## 946 1.3 1.1 0.632
## 947 17.2 17.3 0.479
## 948 2.1 2.0 0.743
## 949 9.6 9.6 0.000
## 950 9.8 9.6 0.461
## 951 0.5 0.5 0.912
## 952 7.5 7.4 0.412
## 953 0.9 0.9 0.894
## 954 8.2 8.3 0.769
## 955 3.3 3.4 0.624
## 956 1.2 1.2 0.497
## 957 13.3 13.6 0.455
## 958 3.2 3.3 0.631
## 959 1.1 1.1 0.863
## 960 1.5 1.5 0.546
## 961 11.6 11.8 0.412
## 962 2.0 1.9 0.688
## 963 1.4 1.5 0.784
## 964 1.6 1.0 NA
## 965 2.4 2.5 0.747
## 966 1.1 1.1 0.884
## 967 2.2 2.2 0.750
## 968 2.2 2.4 0.649
## 969 4.1 4.1 0.753
## 970 3.5 3.4 0.704
## 971 0.7 0.5 NA
## 972 2.3 2.3 NA
## 973 8.2 8.4 0.493
## 974 6.5 6.7 0.508
## 975 NA NA 0.421
## 976 2.1 2.1 0.887
## 977 4.0 4.3 0.703
## 978 8.0 7.8 0.447
## 979 4.5 4.6 0.539
## 980 6.3 6.1 0.645
## 981 13.2 13.5 0.484
## 982 8.4 7.9 0.392
## 983 1.2 1.2 0.377
## 984 1.2 1.3 0.838
## 985 1.3 1.3 0.511
## 986 2.1 2.1 0.740
## 987 14.7 14.8 0.556
## 988 5.8 5.7 NA
## 989 0.7 0.7 0.936
## 990 2.2 2.3 0.818
## 991 0.2 0.1 0.574
## 992 7.6 7.4 0.783
## 993 22.2 22.6 0.445
## 994 3.4 3.4 0.000
## 995 3.3 3.3 0.692
## 996 0.9 0.8 0.794
## 997 2.3 2.5 0.776
## 998 2.3 2.3 0.747
## 999 6.3 6.7 0.745
## 1000 3.6 3.5 0.665
## 1001 0.2 0.2 0.608
## 1002 1.4 1.4 0.446
## 1003 1.0 1.0 0.000
## 1004 9.8 9.7 0.525
## 1005 7.9 7.8 0.401
## 1006 1.5 1.5 0.784
## 1007 2.5 2.6 0.790
## 1008 7.1 7.0 0.457
## 1009 9.6 9.4 0.610
## 1010 8.7 8.5 0.390
## 1011 6.1 5.9 0.484
## 1012 1.1 1.1 0.721
## 1013 1.4 1.4 0.677
## 1014 18.9 19.4 0.535
## 1015 2.6 2.8 0.733
## 1016 9.1 9.0 0.488
## 1017 0.2 0.2 0.628
## 1018 2.0 2.1 0.838
## 1019 3.4 3.3 0.781
## 1020 0.2 0.2 0.690
## 1021 NA NA 0.000
## 1022 2.0 1.9 0.758
## 1023 0.6 0.6 0.936
## 1024 5.1 4.6 0.827
## 1025 6.7 7.2 0.709
## 1026 NA NA 0.000
## 1027 1.9 1.9 0.598
## 1028 1.3 1.3 0.822
## 1029 1.3 1.4 0.752
## 1030 1.9 1.9 0.558
## 1031 0.3 0.2 0.896
## 1032 1.1 1.1 0.892
## 1033 1.4 1.2 0.686
## 1034 4.5 4.5 0.684
## 1035 3.6 3.6 0.684
## 1036 8.9 8.8 0.388
## 1037 8.4 8.3 0.582
## 1038 5.7 5.5 0.622
## 1039 0.7 0.5 NA
## 1040 7.0 7.1 0.455
## 1041 0.5 0.5 0.862
## 1042 3.8 3.8 0.751
## 1043 0.8 0.7 0.855
## 1044 9.7 9.7 0.338
## 1045 0.1 0.1 0.597
## 1046 9.0 8.6 0.365
## 1047 2.9 3.0 0.675
## 1048 2.3 2.2 0.639
## 1049 1.1 1.1 0.870
## 1050 2.0 2.0 0.770
## 1051 3.6 3.5 0.405
## 1052 2.0 2.1 0.793
## 1053 1.7 1.6 0.666
## 1054 0.5 0.4 0.891
## 1055 4.8 4.5 0.815
## 1056 7.5 7.4 0.426
## 1057 13.2 13.6 0.465
## 1058 8.0 8.0 NA
## 1059 1.4 1.3 0.688
## 1060 18.5 19.0 0.557
## 1061 2.0 2.0 0.775
## 1062 0.7 0.7 0.786
## 1063 5.3 5.1 0.798
## 1064 3.5 3.4 0.696
## 1065 0.7 0.7 0.808
## 1066 7.4 7.3 0.433
## 1067 1.8 1.8 0.816
## 1068 7.0 6.7 0.693
## 1069 0.9 0.9 0.884
## 1070 3.5 3.5 0.712
## 1071 5.1 4.6 0.622
## 1072 2.0 2.1 0.785
## 1073 5.4 5.2 0.628
## 1074 1.2 1.3 0.762
## 1075 6.4 6.3 0.673
## 1076 0.9 0.9 0.797
## 1077 2.7 2.8 0.700
## 1078 2.6 2.7 0.681
## 1079 3.0 3.0 0.000
## 1080 0.5 0.4 0.872
## 1081 7.7 7.5 NA
## 1082 3.0 3.1 0.657
## 1083 5.1 4.9 0.675
## 1084 3.6 3.5 0.695
## 1085 7.8 7.7 0.696
## 1086 2.4 2.6 0.761
## 1087 2.9 2.9 0.820
## 1088 1.5 1.0 NA
## 1089 8.2 8.0 0.523
## 1090 2.5 2.4 0.624
## 1091 1.8 1.8 0.783
## 1092 0.8 0.8 0.845
## 1093 2.3 2.4 0.744
## 1094 15.9 16.3 0.551
## 1095 2.1 2.1 0.880
## 1096 0.3 0.3 0.881
## 1097 7.3 7.3 0.734
## 1098 7.2 7.0 0.464
## 1099 1.0 1.0 0.848
## 1100 2.0 2.1 0.720
## 1101 0.1 0.1 0.779
## 1102 0.1 0.1 0.585
## 1103 3.3 3.4 0.613
## 1104 5.6 5.4 0.757
## 1105 3.7 3.6 0.000
## 1106 14.6 15.5 0.641
## 1107 1.2 1.3 0.835
## 1108 9.2 9.1 0.370
## 1109 12.6 15.0 0.611
## 1110 1.9 1.8 0.636
## 1111 1.0 1.0 0.854
## 1112 3.9 3.9 0.000
## 1113 7.5 7.5 0.393
## 1114 2.9 2.9 0.682
## 1115 2.3 2.5 0.769
## 1116 1.1 0.9 0.782
## 1117 1.8 1.7 0.727
## 1118 6.1 5.6 0.840
## 1119 6.0 5.9 0.546
## 1120 2.0 1.9 0.694
## 1121 6.7 6.6 0.438
## 1122 19.5 19.7 0.381
## 1123 13.0 13.3 0.526
## 1124 12.8 12.9 0.253
## 1125 4.9 4.7 0.737
## 1126 7.7 7.5 0.636
## 1127 1.0 1.0 0.888
## 1128 2.5 2.8 0.741
## 1129 0.7 0.6 NA
## 1130 6.3 6.1 0.575
## 1131 12.3 12.2 0.559
## 1132 6.8 6.6 NA
## 1133 6.8 6.3 0.818
## 1134 9.5 9.4 0.395
## 1135 1.2 1.1 0.415
## 1136 1.6 1.1 NA
## 1137 0.8 0.8 0.853
## 1138 1.4 1.4 0.442
## 1139 12.4 12.3 NA
## 1140 NA NA 0.468
## 1141 7.6 7.8 0.716
## 1142 0.7 0.7 0.936
## 1143 3.4 3.3 0.772
## 1144 3.9 3.8 0.341
## 1145 7.9 7.9 0.000
## 1146 3.9 3.8 0.332
## 1147 1.6 1.4 0.852
## 1148 2.8 2.8 0.824
## 1149 0.9 0.8 0.893
## 1150 1.8 2.0 0.884
## 1151 3.7 3.6 0.695
## 1152 13.7 13.5 0.498
## 1153 0.9 0.8 0.864
## 1154 6.1 6.6 0.712
## 1155 5.9 5.9 0.496
## 1156 5.0 4.9 0.681
## 1157 3.9 3.9 0.735
## 1158 2.0 2.2 0.780
## 1159 2.4 2.4 0.735
## 1160 3.8 3.8 0.780
## 1161 13.8 13.7 0.483
## 1162 7.0 6.8 0.796
## 1163 2.4 2.6 0.796
## 1164 0.5 0.6 0.876
## 1165 11.0 11.1 0.546
## 1166 2.9 3.1 NA
## 1167 13.9 14.0 0.663
## 1168 0.2 0.2 0.000
## 1169 2.8 2.9 0.758
## 1170 1.5 1.4 0.590
## 1171 0.7 0.5 0.797
## 1172 2.1 2.1 0.739
## 1173 4.9 4.5 0.835
## 1174 0.5 0.4 0.914
## 1175 12.7 12.7 0.255
## 1176 0.5 0.5 0.846
## 1177 0.1 0.1 0.584
## 1178 11.5 11.5 0.599
## 1179 17.0 17.6 0.492
## 1180 1.7 1.9 0.854
## 1181 11.5 11.2 0.325
## 1182 6.6 6.5 0.454
## 1183 7.4 7.7 0.687
## 1184 3.5 3.4 0.677
## 1185 2.7 2.9 0.727
## 1186 4.0 4.0 0.470
## 1187 1.8 1.7 0.638
## 1188 3.2 3.3 0.665
## 1189 2.5 2.7 0.687
## 1190 0.6 0.6 0.873
## 1191 0.7 0.6 0.927
## 1192 2.8 2.9 0.691
## 1193 14.7 14.8 0.587
## 1194 3.3 3.2 0.712
## 1195 15.8 16.4 0.569
## 1196 8.4 8.3 0.435
## 1197 2.2 2.3 0.712
## 1198 19.9 2.2 0.341
## 1199 7.5 7.3 0.787
## 1200 1.7 1.6 0.735
## 1201 2.4 2.1 0.658
## 1202 5.5 5.5 NA
## 1203 5.2 5.0 0.829
## 1204 2.2 2.2 0.743
## 1205 2.4 2.5 0.703
## 1206 1.8 1.7 0.729
## 1207 1.0 9.7 0.631
## 1208 2.4 2.4 0.739
## 1209 8.1 8.2 0.720
## 1210 2.4 2.5 0.782
## 1211 3.9 3.9 0.775
## 1212 0.8 0.8 0.875
## 1213 2.0 2.2 0.829
## 1214 0.6 0.5 0.874
## 1215 1.0 1.0 0.553
## 1216 2.2 2.2 0.712
## 1217 7.5 7.3 0.415
## 1218 1.1 1.1 0.898
## 1219 2.3 2.2 0.606
## 1220 4.0 4.0 0.000
## 1221 0.6 0.6 0.860
## 1222 8.1 9.8 0.622
## 1223 13.6 13.7 0.693
## 1224 2.1 1.9 0.707
## 1225 0.2 0.2 0.612
## 1226 5.9 5.7 0.609
## 1227 9.7 9.5 0.350
## 1228 6.8 6.7 0.419
## 1229 1.8 1.9 NA
## 1230 3.3 3.3 0.783
## 1231 3.1 3.0 0.651
## 1232 7.4 7.3 0.458
## 1233 11.1 11.1 0.443
## 1234 3.5 3.4 0.000
## 1235 17.1 17.8 0.000
## 1236 8.8 8.4 0.377
## 1237 1.1 0.9 0.922
## 1238 9.5 9.3 0.491
## 1239 2.1 2.3 0.818
## 1240 17.8 18.6 0.000
## 1241 15.4 15.5 0.712
## 1242 3.4 3.4 0.617
## 1243 9.0 8.9 0.381
## 1244 6.5 6.3 0.569
## 1245 8.0 7.9 NA
## 1246 1.7 1.6 0.834
## 1247 0.8 0.7 0.862
## 1248 7.8 7.7 0.633
## 1249 3.5 3.4 0.708
## 1250 6.0 5.9 0.388
## 1251 1.0 1.0 0.000
## 1252 1.0 9.8 NA
## 1253 0.8 0.8 0.826
## 1254 2.1 2.1 0.739
## 1255 2.2 2.3 0.810
## 1256 0.8 0.8 0.871
## 1257 8.9 8.8 0.364
## 1258 2.2 2.0 0.700
## 1259 1.8 1.7 0.625
## 1260 1.5 1.4 0.679
## 1261 8.0 8.2 0.755
## 1262 5.8 6.0 0.773
## 1263 11.2 1.8 0.000
## 1264 6.4 6.2 0.473
## 1265 0.7 0.7 0.939
## 1266 1.1 1.1 0.872
## 1267 6.8 6.6 0.497
## 1268 6.7 6.6 0.527
## 1269 2.4 2.5 0.737
## 1270 0.2 0.1 0.576
## 1271 2.7 2.6 0.779
## 1272 9.9 9.7 0.338
## 1273 2.2 2.4 0.723
## 1274 0.5 0.5 0.836
## 1275 11.2 11.1 0.422
## 1276 14.0 14.0 0.450
## 1277 8.4 8.3 0.494
## 1278 2.8 2.9 0.737
## 1279 1.8 1.8 0.817
## 1280 6.3 6.1 0.635
## 1281 3.8 3.8 0.781
## 1282 6.9 6.8 0.779
## 1283 3.3 3.2 0.709
## 1284 11.4 11.6 0.483
## 1285 0.9 0.9 0.888
## 1286 8.0 8.1 0.488
## 1287 8.0 8.0 0.309
## 1288 NA NA 0.000
## 1289 3.7 3.6 0.397
## 1290 1.5 1.6 0.721
## 1291 14.8 14.8 0.577
## 1292 1.3 1.2 0.625
## 1293 9.2 9.4 0.542
## 1294 0.5 0.4 0.894
## 1295 2.7 2.9 0.794
## 1296 1.5 1.5 0.877
## 1297 15.3 16.0 0.609
## 1298 1.5 1.0 NA
## 1299 0.9 1.0 0.847
## 1300 0.5 0.4 0.898
## 1301 6.0 6.0 NA
## 1302 1.5 1.3 0.435
## 1303 13.8 13.9 0.675
## 1304 0.9 0.9 0.892
## 1305 0.7 0.5 0.804
## 1306 9.9 9.9 0.612
## 1307 14.0 13.9 0.457
## 1308 2.7 2.6 0.754
## 1309 2.8 2.7 0.710
## 1310 0.9 0.8 0.801
## 1311 1.6 1.5 0.444
## 1312 1.4 1.4 0.454
## 1313 9.5 9.1 0.345
## 1314 1.7 1.9 0.870
## 1315 8.7 8.7 0.367
## 1316 1.6 1.4 NA
## 1317 1.2 1.2 0.489
## 1318 7.9 7.8 0.383
## 1319 1.8 1.7 0.721
## 1320 NA NA 0.419
## 1321 11.1 1.8 0.393
## 1322 6.3 6.2 0.653
## 1323 1.8 1.8 0.685
## 1324 18.5 19.2 0.439
## 1325 2.3 2.3 0.721
## 1326 8.9 8.9 0.357
## 1327 2.8 2.8 0.000
## 1328 8.7 8.6 0.410
## 1329 3.2 3.2 0.613
## 1330 2.5 2.4 0.625
## 1331 4.3 4.3 0.724
## 1332 7.8 7.8 0.000
## 1333 2.1 2.0 0.675
## 1334 1.6 1.5 0.656
## 1335 1.2 1.1 0.889
## 1336 0.7 0.6 NA
## 1337 7.6 7.5 0.713
## 1338 1.9 2.0 0.798
## 1339 2.4 2.3 0.716
## 1340 7.9 7.7 0.387
## 1341 0.7 0.6 0.844
## 1342 7.0 6.9 0.400
## 1343 7.6 7.4 0.453
## 1344 1.0 1.0 0.885
## 1345 2.7 2.7 0.747
## 1346 19.9 2.5 0.499
## 1347 0.8 0.5 NA
## 1348 4.7 4.7 0.443
## 1349 2.5 2.5 0.739
## 1350 9.4 9.3 0.404
## 1351 3.2 3.2 0.780
## 1352 2.3 2.4 0.785
## 1353 4.2 4.2 0.750
## 1354 1.0 0.9 0.867
## 1355 2.7 2.8 0.759
## 1356 2.1 2.3 0.755
## 1357 5.9 5.8 0.724
## 1358 6.8 6.7 0.452
## 1359 1.9 1.9 0.812
## 1360 7.2 7.2 NA
## 1361 8.0 7.9 0.441
## 1362 3.4 3.2 0.780
## 1363 0.1 0.1 0.712
## 1364 6.2 6.0 0.372
## 1365 2.9 3.0 0.677
## 1366 7.1 6.9 0.475
## 1367 0.3 0.2 0.604
## 1368 2.0 2.0 0.802
## 1369 7.9 8.1 0.745
## 1370 4.0 3.7 0.734
## 1371 4.7 4.6 0.731
## 1372 1.9 11.0 0.613
## 1373 2.2 2.1 0.649
## 1374 8.7 8.7 0.583
## 1375 2.0 2.1 0.670
## 1376 6.5 6.3 0.454
## 1377 6.9 6.7 NA
## 1378 1.5 1.3 0.677
## 1379 4.4 4.5 0.681
## 1380 6.1 5.9 0.798
## 1381 7.8 7.8 0.497
## 1382 8.1 8.2 0.290
## 1383 1.1 1.1 0.907
## 1384 6.0 5.9 0.810
## 1385 0.9 0.9 0.887
## 1386 6.0 5.9 0.814
## 1387 7.4 7.2 0.640
## 1388 0.7 0.6 0.790
## 1389 3.5 3.5 0.000
## 1390 7.5 7.7 0.437
## 1391 11.8 11.7 0.283
## 1392 6.4 6.2 0.634
## 1393 5.9 5.9 NA
## 1394 0.5 0.5 0.866
## 1395 8.6 8.6 0.586
## 1396 0.9 0.9 0.892
## 1397 0.7 0.6 NA
## 1398 1.3 1.0 0.860
## 1399 9.0 9.2 0.674
## 1400 4.9 4.7 0.759
## 1401 9.9 9.7 0.474
## 1402 2.7 2.7 0.715
## 1403 1.9 1.9 0.809
## 1404 2.8 3.0 NA
## 1405 6.7 6.5 0.498
## 1406 7.5 7.4 0.638
## 1407 8.5 8.4 0.375
## 1408 6.8 6.7 0.504
## 1409 3.4 3.4 0.612
## 1410 4.8 4.7 0.000
## 1411 5.1 5.0 0.826
## 1412 6.1 6.5 0.760
## 1413 6.6 8.0 0.638
## 1414 3.8 3.9 0.572
## 1415 5.2 5.0 0.832
## 1416 3.8 3.8 0.682
## 1417 2.8 2.8 0.703
## 1418 7.1 7.0 0.387
## 1419 1.9 1.9 0.734
## 1420 21.4 21.8 0.474
## 1421 0.6 0.6 0.852
## 1422 0.8 0.7 0.815
## 1423 0.8 0.6 0.782
## 1424 0.7 0.6 0.908
## 1425 4.9 4.8 0.000
## 1426 3.6 3.6 0.586
## 1427 6.5 6.2 0.484
## 1428 9.2 9.2 0.405
## 1429 7.6 7.6 0.501
## 1430 1.9 1.7 0.714
## 1431 1.5 1.1 0.000
## 1432 6.4 6.1 0.650
## 1433 0.7 0.5 0.837
## 1434 1.4 1.4 0.455
## 1435 1.7 1.5 0.873
## 1436 6.2 5.9 0.796
## 1437 1.2 1.2 0.855
## 1438 7.3 7.3 0.787
## 1439 12.2 12.1 NA
## 1440 3.8 3.7 0.689
## 1441 3.1 3.1 0.698
## 1442 1.6 1.5 0.748
## 1443 1.6 1.0 NA
## 1444 0.6 0.6 0.881
## 1445 1.7 1.5 0.422
## 1446 2.4 2.5 0.609
## 1447 1.4 1.3 0.617
## 1448 8.8 8.8 0.450
## 1449 3.9 3.8 0.723
## 1450 4.9 4.9 NA
## 1451 0.6 0.5 0.820
## 1452 6.1 5.9 0.803
## 1453 2.7 2.8 0.715
## 1454 6.7 6.5 0.533
## 1455 11.1 11.2 0.620
## 1456 3.4 3.3 0.794
## 1457 1.1 0.9 0.906
## 1458 4.0 4.0 0.741
## 1459 11.3 11.2 0.300
## 1460 0.3 0.2 0.895
## 1461 9.8 9.8 0.563
## 1462 7.2 7.3 0.754
## 1463 1.9 2.0 NA
## 1464 1.2 1.1 0.661
## 1465 0.3 0.3 0.864
## 1466 0.1 0.1 NA
## 1467 0.9 0.8 0.874
## 1468 6.9 6.8 0.797
## 1469 0.8 0.7 0.850
## 1470 1.4 1.2 0.441
## 1471 0.7 0.7 0.805
## 1472 4.1 4.0 0.757
## 1473 8.9 1.7 0.616
## 1474 9.6 9.5 0.000
## 1475 2.4 2.4 0.742
## 1476 2.2 2.3 0.673
## 1477 9.2 8.9 0.731
## 1478 2.0 2.1 0.725
## 1479 0.1 0.1 0.707
## 1480 3.3 3.5 NA
## 1481 1.5 1.4 0.596
## 1482 8.3 8.3 0.457
## 1483 2.2 2.3 0.733
## 1484 NA NA 0.444
## 1485 2.7 2.8 0.768
## 1486 9.0 9.0 0.386
## 1487 3.8 3.9 0.000
## 1488 6.7 6.6 0.519
## 1489 1.9 1.7 0.889
## 1490 1.2 1.2 0.616
## 1491 11.3 11.1 NA
## 1492 4.0 3.9 0.318
## 1493 8.2 8.3 0.711
## 1494 3.7 4.1 0.714
## 1495 1.6 1.6 0.670
## 1496 2.4 2.4 0.814
## 1497 21.2 21.7 0.487
## 1498 1.3 1.3 0.882
## 1499 6.0 5.8 0.743
## 1500 2.9 2.8 0.673
## 1501 5.6 5.4 0.736
## 1502 1.6 1.6 0.446
## 1503 1.3 1.2 0.303
## 1504 3.9 3.9 0.673
## 1505 1.8 1.7 0.723
## 1506 2.9 2.8 0.681
## 1507 9.2 9.2 0.338
## 1508 2.4 2.3 0.590
## 1509 6.9 6.8 0.797
## 1510 5.9 5.8 0.732
## 1511 8.5 8.3 0.747
## 1512 3.3 3.3 0.778
## 1513 1.9 1.7 0.709
## 1514 6.6 6.6 NA
## 1515 7.0 6.8 NA
## 1516 4.4 3.8 0.682
## 1517 2.5 2.5 0.789
## 1518 11.8 11.8 0.560
## 1519 4.9 4.9 0.763
## 1520 19.3 19.5 0.396
## 1521 5.3 5.1 0.646
## 1522 2.9 3.1 NA
## 1523 2.2 2.3 0.720
## 1524 7.3 7.1 NA
## 1525 2.1 2.0 0.873
## 1526 8.6 8.8 0.687
## 1527 3.8 3.7 0.360
## 1528 4.0 3.7 0.727
## 1529 2.2 2.0 0.695
## 1530 1.5 1.0 NA
## 1531 7.9 7.9 0.510
## 1532 8.1 7.7 0.548
## 1533 1.0 9.8 0.451
## 1534 2.0 1.9 0.592
## 1535 1.1 1.0 0.775
## 1536 11.0 1.7 0.401
## 1537 1.1 1.1 0.755
## 1538 0.1 0.1 0.674
## 1539 9.2 9.2 0.590
## 1540 3.5 3.4 0.700
## 1541 6.1 6.0 0.815
## 1542 14.6 14.7 0.597
## 1543 1.1 1.1 0.903
## 1544 1.7 1.6 0.000
## 1545 3.9 3.9 0.563
## 1546 7.1 7.0 0.547
## 1547 7.9 7.7 0.430
## 1548 0.6 0.5 0.882
## 1549 0.8 0.8 0.811
## 1550 6.5 6.0 0.828
## 1551 0.8 0.5 NA
## 1552 9.3 9.5 0.535
## 1553 0.6 0.5 0.919
## 1554 1.6 1.5 0.000
## 1555 2.6 2.5 0.711
## 1556 6.6 7.1 0.715
## 1557 7.1 7.0 0.421
## 1558 7.7 7.5 0.416
## 1559 6.8 6.7 NA
## 1560 1.2 0.9 0.902
## 1561 2.2 2.2 NA
## 1562 9.0 9.0 0.447
## 1563 2.2 2.0 0.691
## 1564 1.1 1.1 0.919
## 1565 18.6 18.7 0.434
## 1566 1.6 1.5 0.754
## 1567 0.8 0.7 0.839
## 1568 8.5 8.3 0.416
## 1569 11.6 11.5 0.408
## 1570 0.9 0.9 0.884
## 1571 11.5 11.3 NA
## 1572 1.0 9.7 0.666
## 1573 3.5 3.4 0.000
## 1574 0.9 0.9 0.876
## 1575 16.7 17.2 0.515
## 1576 1.3 1.4 0.820
## 1577 4.3 4.2 0.000
## 1578 6.4 6.3 0.589
## 1579 4.2 3.9 0.691
## 1580 9.3 9.3 0.592
## 1581 0.7 0.6 NA
## 1582 0.7 0.5 NA
## 1583 0.2 0.1 0.701
## 1584 1.7 1.7 0.873
## 1585 7.3 7.2 0.449
## 1586 18.1 18.6 0.570
## 1587 1.0 0.9 0.907
## 1588 1.7 1.9 0.864
## 1589 15.4 16.0 0.604
## 1590 2.8 3.0 0.720
## 1591 2.1 2.0 0.664
## 1592 12.0 11.9 0.492
## 1593 6.8 6.6 0.469
## 1594 1.7 1.7 0.746
## 1595 2.5 2.5 0.791
## 1596 8.3 8.2 0.384
## 1597 0.9 0.9 0.892
## 1598 2.2 2.2 0.757
## 1599 6.7 6.7 0.418
## 1600 6.1 6.1 0.475
## 1601 3.4 3.2 0.784
## 1602 0.1 0.1 0.698
## 1603 2.8 2.8 0.745
## 1604 3.0 3.1 0.669
## 1605 11.2 1.9 0.378
## 1606 13.8 13.7 0.480
## 1607 5.7 5.1 0.864
## 1608 1.5 1.5 0.774
## 1609 1.0 1.0 0.768
## 1610 0.7 0.5 NA
## 1611 1.6 1.5 0.769
## 1612 1.5 1.4 0.591
## 1613 7.8 7.8 0.737
## 1614 8.0 7.8 0.669
## 1615 1.8 1.7 0.297
## 1616 NA NA NA
## 1617 2.7 2.7 0.000
## 1618 3.9 3.9 0.477
## 1619 8.7 8.7 0.574
## 1620 1.5 1.5 0.589
## 1621 13.8 13.8 0.477
## 1622 1.6 1.0 NA
## 1623 7.5 7.4 0.720
## 1624 1.6 1.7 0.703
## 1625 0.6 0.6 0.879
## 1626 1.0 9.7 0.662
## 1627 2.2 2.2 0.922
## 1628 6.6 6.4 0.475
## 1629 5.5 5.4 0.756
## 1630 1.1 1.1 0.855
## 1631 3.7 3.6 0.749
## 1632 7.3 7.2 0.406
## 1633 3.7 3.7 0.677
## 1634 2.6 2.6 0.700
## 1635 3.4 3.4 0.000
## 1636 8.3 8.2 0.438
## 1637 0.8 0.5 NA
## 1638 3.8 3.8 0.592
## 1639 1.8 1.6 0.881
## 1640 1.1 1.1 0.735
## 1641 1.4 1.4 0.888
## 1642 6.9 6.8 NA
## 1643 9.1 8.8 0.492
## 1644 1.6 1.5 0.754
## 1645 3.6 3.7 NA
## 1646 6.1 5.9 0.378
## 1647 6.1 6.0 0.812
## 1648 4.4 4.4 0.686
## 1649 8.4 8.2 0.418
## 1650 4.0 4.1 0.000
## 1651 2.3 2.3 0.732
## 1652 1.5 1.6 0.763
## 1653 15.4 16.1 0.601
## 1654 9.0 9.0 0.589
## 1655 0.5 0.5 0.864
## 1656 8.1 7.9 0.501
## 1657 4.5 4.0 0.672
## 1658 1.4 1.4 0.604
## 1659 2.5 2.5 0.703
## 1660 3.4 3.3 0.786
## 1661 2.5 2.6 0.776
## 1662 15.7 15.9 0.559
## 1663 3.4 3.2 0.782
## 1664 8.4 8.0 0.527
## 1665 6.0 5.9 0.697
## 1666 11.9 11.8 0.000
## 1667 1.3 1.3 0.459
## 1668 0.5 0.5 0.851
## 1669 12.3 12.3 0.378
## 1670 2.3 2.2 0.708
## 1671 6.5 6.5 0.429
## 1672 3.6 3.5 0.409
## 1673 1.7 1.7 0.684
## 1674 1.9 1.7 0.443
## 1675 0.7 0.6 0.915
## 1676 2.8 2.9 0.825
## 1677 2.8 2.9 0.702
## 1678 8.7 8.6 0.430
## 1679 1.7 1.9 0.841
## 1680 9.6 9.6 0.395
## 1681 6.3 6.8 0.736
## 1682 12.9 13.2 0.540
## 1683 2.0 2.0 0.759
## 1684 11.5 11.4 0.589
## 1685 2.7 2.9 0.722
## 1686 1.6 1.5 0.668
## 1687 3.1 3.1 0.644
## 1688 5.0 4.4 0.634
## 1689 6.4 6.3 0.581
## 1690 2.2 2.2 0.775
## 1691 1.9 1.9 0.382
## 1692 15.6 16.2 0.592
## 1693 9.4 9.0 0.487
## 1694 18.0 18.8 0.000
## 1695 3.3 3.3 0.000
## 1696 8.4 8.3 0.434
## 1697 15.4 15.4 0.731
## 1698 0.7 0.6 0.789
## 1699 7.6 7.5 0.445
## 1700 6.0 6.4 0.712
## 1701 5.6 5.4 0.706
## 1702 3.8 3.7 0.793
## 1703 4.0 3.7 0.714
## 1704 2.0 2.1 0.721
## 1705 6.9 7.0 0.456
## 1706 0.8 0.8 0.880
## 1707 0.7 0.6 NA
## 1708 0.9 1.0 0.798
## 1709 3.6 3.5 0.000
## 1710 0.3 0.2 0.870
## 1711 5.6 5.3 0.630
## 1712 14.3 14.7 0.675
## 1713 2.1 2.1 0.793
## 1714 1.2 1.0 0.897
## 1715 2.6 2.6 0.000
## 1716 12.5 12.5 0.261
## 1717 2.5 2.8 0.777
## 1718 6.4 6.3 0.717
## 1719 0.7 0.6 0.918
## 1720 6.3 6.2 0.603
## 1721 7.8 7.7 0.440
## 1722 7.0 7.0 0.514
## 1723 16.5 16.9 0.529
## 1724 7.7 7.6 0.413
## 1725 16.8 17.5 0.000
## 1726 NA NA 0.488
## 1727 14.1 14.1 0.436
## 1728 11.8 11.7 0.401
## 1729 9.6 9.6 0.323
## 1730 2.5 2.6 0.734
## 1731 0.8 0.7 0.929
## 1732 0.6 0.6 0.933
## 1733 1.5 1.0 NA
## 1734 11.1 11.0 0.303
## 1735 2.1 2.0 0.821
## 1736 5.4 5.1 0.791
## 1737 1.2 1.0 0.875
## 1738 1.0 0.9 0.892
## 1739 3.6 3.5 0.692
## 1740 5.0 5.0 NA
## 1741 7.2 7.3 0.767
## 1742 1.6 1.6 0.803
## 1743 2.2 2.2 0.824
## 1744 1.8 1.7 0.752
## 1745 12.1 12.1 0.381
## 1746 0.3 0.2 0.909
## 1747 3.3 3.3 0.688
## 1748 6.3 6.3 0.442
## 1749 5.9 5.7 0.553
## 1750 2.0 2.1 0.834
## 1751 6.6 6.6 0.456
## 1752 2.7 2.6 0.000
## 1753 1.9 1.9 0.773
## 1754 4.7 4.6 0.733
## 1755 3.3 3.3 0.699
## 1756 5.7 5.7 0.478
## 1757 7.5 7.3 NA
## 1758 8.4 8.3 0.440
## 1759 6.4 6.3 0.683
## 1760 1.4 1.3 0.406
## 1761 14.2 14.3 0.641
## 1762 0.7 0.6 0.849
## 1763 1.7 1.6 0.700
## 1764 3.9 3.8 0.733
## 1765 3.0 3.2 0.797
## 1766 2.2 2.2 0.920
## 1767 1.0 1.0 0.893
## 1768 2.1 2.1 0.618
## 1769 3.8 3.9 0.579
## 1770 9.4 9.6 0.525
## 1771 3.3 3.3 0.770
## 1772 7.6 7.6 0.621
## 1773 11.5 11.6 0.470
## 1774 1.0 1.1 0.316
## 1775 5.0 4.6 0.828
## 1776 11.0 1.8 0.307
## 1777 0.3 0.3 0.868
## 1778 2.3 2.3 0.738
## 1779 6.4 6.2 0.640
## 1780 8.8 8.8 0.268
## 1781 3.5 3.4 0.700
## 1782 7.7 7.6 0.704
## 1783 8.5 8.4 0.434
## 1784 2.3 2.4 0.746
## 1785 2.0 2.1 0.829
## 1786 2.2 2.1 0.562
## 1787 9.7 9.6 0.569
## 1788 5.3 5.1 0.658
## 1789 8.1 8.0 0.444
## 1790 0.7 0.5 NA
## 1791 0.8 0.5 NA
## 1792 1.3 1.3 0.494
## 1793 3.4 3.4 0.773
## 1794 3.0 3.0 0.668
## 1795 0.3 0.3 0.901
## 1796 7.4 7.4 0.504
## 1797 6.4 6.2 0.596
## 1798 1.7 1.4 0.856
## 1799 11.7 11.5 NA
## 1800 1.0 9.9 0.341
## 1801 7.1 6.9 0.476
## 1802 8.1 8.1 0.667
## 1803 4.7 4.7 0.758
## 1804 1.9 1.8 0.613
## 1805 8.6 8.5 0.426
## 1806 8.8 8.7 0.420
## 1807 1.1 1.1 0.906
## 1808 1.5 1.5 0.428
## 1809 9.5 9.5 0.325
## 1810 2.0 2.0 0.723
## 1811 13.1 13.3 0.515
## 1812 0.7 0.6 NA
## 1813 1.2 1.1 0.867
## 1814 7.2 7.3 0.779
## 1815 3.9 4.0 0.000
## 1816 2.4 2.4 0.583
## 1817 11.2 11.4 0.511
## 1818 18.2 18.2 0.454
## 1819 8.0 7.8 0.637
## 1820 0.7 0.7 0.813
## 1821 3.3 3.3 0.621
## 1822 1.2 1.2 0.696
## 1823 2.2 2.2 0.648
## 1824 6.2 6.0 0.786
## 1825 3.7 3.7 0.608
## 1826 14.3 14.9 0.668
## 1827 1.6 1.6 0.745
## 1828 8.0 7.8 0.774
## 1829 2.6 2.7 0.841
## 1830 7.9 7.8 0.687
## 1831 1.2 1.3 0.477
## 1832 2.3 2.3 0.805
## 1833 7.2 7.1 0.466
## 1834 3.8 3.9 0.737
## 1835 7.4 7.3 0.506
## 1836 1.4 1.4 0.446
## 1837 14.2 14.3 0.554
## 1838 7.4 7.2 NA
## 1839 1.8 1.7 0.657
## 1840 0.2 0.2 0.653
## 1841 2.3 2.1 0.675
## 1842 3.8 3.6 0.656
## 1843 0.5 0.5 0.828
## 1844 0.8 0.6 0.777
## 1845 2.0 1.7 0.894
## 1846 9.7 9.7 0.000
## 1847 6.2 6.1 0.678
## 1848 2.5 2.5 0.000
## 1849 7.3 7.0 0.687
## 1850 4.7 4.1 0.659
## 1851 1.0 0.9 0.923
## 1852 0.9 1.0 0.850
## 1853 1.7 2.0 0.880
## 1854 1.5 1.6 0.771
## 1855 9.2 9.5 0.657
## 1856 1.2 1.2 0.611
## 1857 3.4 3.2 0.754
## 1858 8.9 8.9 0.451
## 1859 3.4 3.4 0.685
## 1860 6.0 5.9 0.815
## 1861 11.0 11.3 0.519
## 1862 0.3 0.3 0.884
## 1863 3.6 3.5 0.709
## 1864 3.4 3.3 0.695
## 1865 5.1 4.9 0.826
## 1866 3.1 3.0 0.700
## 1867 7.3 7.1 0.377
## 1868 9.8 9.8 0.392
## 1869 3.5 3.5 0.719
## 1870 2.1 2.2 0.771
## 1871 6.7 6.6 0.444
## 1872 5.0 4.8 0.697
## 1873 5.2 5.0 0.658
## 1874 2.5 2.3 0.656
## 1875 2.7 2.7 0.830
## 1876 6.8 7.0 0.388
## 1877 2.6 2.7 0.685
## 1878 1.1 1.1 0.924
## 1879 NA NA 0.430
## 1880 2.0 1.9 0.621
## 1881 0.6 0.5 0.860
## 1882 2.4 2.4 0.000
## 1883 0.7 0.6 NA
## 1884 7.5 7.5 0.418
## 1885 1.8 1.7 0.758
## 1886 0.8 0.5 NA
## 1887 2.8 21.3 0.505
## 1888 2.0 1.8 0.690
## 1889 15.1 15.9 0.618
## 1890 11.7 11.7 0.566
## 1891 1.6 1.4 0.527
## 1892 7.7 7.9 0.728
## 1893 12.0 12.0 0.578
## 1894 5.5 5.4 0.757
## 1895 7.4 7.4 0.627
## 1896 8.4 8.3 0.491
## 1897 6.4 6.4 0.434
## 1898 8.9 8.8 0.423
## 1899 1.1 1.1 0.322
## 1900 5.9 5.9 0.477
## 1901 4.9 4.7 0.750
## 1902 2.3 2.4 0.803
## 1903 NA NA 0.417
## 1904 4.3 4.3 0.733
## 1905 8.4 8.3 0.345
## 1906 2.3 2.5 0.758
## 1907 4.0 3.7 0.709
## 1908 11.9 11.8 0.278
## 1909 0.6 0.5 0.844
## 1910 6.5 7.0 0.721
## 1911 0.3 0.3 0.908
## 1912 0.8 0.7 0.942
## 1913 5.7 5.2 0.863
## 1914 9.8 9.9 0.418
## 1915 7.6 7.5 NA
## 1916 8.8 8.7 0.437
## 1917 0.3 0.3 0.904
## 1918 7.3 7.5 0.495
## 1919 1.7 1.7 0.391
## 1920 1.8 1.8 NA
## 1921 9.7 9.5 0.483
## 1922 5.6 5.4 0.756
## 1923 13.7 13.6 0.493
## 1924 6.8 6.6 NA
## 1925 0.7 0.6 0.851
## 1926 2.0 2.1 NA
## 1927 14.9 15.8 0.625
## 1928 0.7 0.5 0.879
## 1929 0.2 0.2 0.691
## 1930 6.6 6.1 0.823
## 1931 0.6 0.5 0.854
## 1932 1.5 1.6 0.763
## 1933 0.7 0.7 0.897
## 1934 1.8 2.0 0.887
## 1935 6.0 5.8 0.741
## 1936 2.1 2.1 0.736
## 1937 6.4 6.1 0.361
## 1938 2.0 1.9 0.727
## 1939 0.6 0.6 0.879
## 1940 7.0 6.9 NA
## 1941 0.8 0.6 NA
## 1942 1.2 1.1 0.764
## 1943 3.3 3.2 0.706
## 1944 11.0 11.2 0.597
## 1945 6.9 6.8 0.415
## 1946 0.5 0.5 0.823
## 1947 8.7 8.5 0.736
## 1948 5.3 5.0 0.803
## 1949 2.8 2.9 0.752
## 1950 2.6 2.8 0.738
## 1951 6.0 5.5 0.841
## 1952 0.2 0.2 0.665
## 1953 9.4 9.5 0.000
## 1954 1.3 1.3 0.506
## 1955 7.1 7.0 0.756
## 1956 7.3 7.2 0.443
## 1957 1.4 1.2 0.514
## 1958 3.5 3.5 0.601
## 1959 6.0 6.4 0.773
## 1960 1.9 2.0 0.792
## 1961 1.4 1.3 0.693
## 1962 0.5 0.4 0.916
## 1963 6.3 6.3 0.695
## 1964 1.4 1.5 0.738
## 1965 0.8 0.7 0.857
## 1966 3.1 3.1 0.631
## 1967 8.6 8.6 0.408
## 1968 1.2 1.1 0.737
## 1969 2.5 2.5 0.790
## 1970 1.8 1.9 0.803
## 1971 2.0 2.1 0.835
## 1972 1.0 0.9 0.919
## 1973 7.9 7.7 NA
## 1974 8.8 8.8 0.484
## 1975 1.0 0.9 0.825
## 1976 5.8 5.7 0.405
## 1977 3.8 3.8 0.739
## 1978 0.3 0.2 0.910
## 1979 3.3 3.4 0.618
## 1980 8.1 7.9 0.530
## 1981 0.9 0.9 0.886
## 1982 1.9 2.0 NA
## 1983 17.8 18.4 0.463
## 1984 4.2 3.9 0.689
## 1985 0.3 0.2 0.909
## 1986 1.9 2.0 0.853
## 1987 1.9 2.0 0.796
## 1988 2.2 2.2 0.741
## 1989 0.8 0.7 0.819
## 1990 9.9 9.6 NA
## 1991 3.3 3.8 0.745
## 1992 3.0 3.1 0.798
## 1993 5.6 5.5 0.507
## 1994 2.6 2.5 0.566
## 1995 3.0 3.0 0.659
## 1996 12.1 11.9 NA
## 1997 4.7 4.7 0.740
## 1998 2.2 2.1 0.828
## 1999 3.3 3.3 0.784
## 2000 2.5 2.6 0.714
## 2001 6.7 6.5 0.530
## 2002 6.4 6.5 0.466
## 2003 4.1 4.0 0.298
## 2004 1.2 1.2 0.706
## 2005 1.6 1.5 0.745
## 2006 3.3 3.2 0.000
## 2007 8.7 8.6 0.461
## 2008 1.7 1.7 0.821
## 2009 2.5 2.7 0.723
## 2010 2.4 2.5 0.781
## 2011 6.4 6.3 0.714
## 2012 15.4 15.5 0.705
## 2013 6.6 6.4 0.599
## 2014 1.4 1.5 0.463
## 2015 4.4 4.4 0.452
## 2016 2.1 2.1 0.911
## 2017 1.2 1.1 0.860
## 2018 2.2 2.2 0.739
## 2019 1.0 0.9 0.854
## 2020 7.0 6.8 0.479
## 2021 4.1 3.8 0.699
## 2022 3.5 3.4 0.672
## 2023 2.4 2.4 0.743
## 2024 2.1 2.0 0.839
## 2025 3.6 3.5 0.400
## 2026 1.3 1.3 0.686
## 2027 0.7 0.7 0.905
## 2028 5.6 5.4 0.562
## 2029 1.8 1.5 0.877
## 2030 22.0 22.4 0.450
## 2031 0.9 0.9 0.879
## 2032 7.6 7.4 NA
## 2033 5.5 5.5 NA
## 2034 0.2 0.2 0.639
## 2035 8.2 8.2 0.347
## 2036 1.4 1.4 0.560
## 2037 2.4 2.5 0.599
## 2038 5.6 5.5 0.732
## 2039 13.7 13.7 0.488
## 2040 0.5 0.4 0.881
## 2041 7.0 6.8 0.797
## 2042 6.9 6.8 0.645
## 2043 8.5 8.3 0.404
## 2044 3.9 3.9 0.717
## 2045 5.6 5.4 0.618
## 2046 16.3 16.7 0.538
## 2047 1.4 1.3 0.485
## 2048 1.0 9.9 0.426
## 2049 1.5 1.0 NA
## 2050 1.5 1.3 0.323
## 2051 0.2 0.2 0.638
## 2052 6.1 5.9 0.806
## 2053 2.3 2.2 0.603
## 2054 7.7 7.4 0.678
## 2055 0.2 0.2 0.000
## 2056 2.2 2.1 0.614
## 2057 0.2 0.1 0.698
## 2058 5.8 5.7 0.416
## 2059 9.2 9.0 0.630
## 2060 6.3 6.2 0.533
## 2061 5.4 5.1 0.631
## 2062 6.9 6.7 0.484
## 2063 9.3 9.3 0.346
## 2064 9.3 9.3 0.341
## 2065 3.1 3.3 NA
## 2066 5.5 5.4 0.752
## 2067 1.3 1.2 0.318
## 2068 0.7 0.5 0.888
## 2069 1.4 1.3 0.904
## 2070 9.2 9.1 0.448
## 2071 5.5 5.3 0.638
## 2072 9.1 9.2 0.554
## 2073 2.3 2.3 0.761
## 2074 1.6 1.5 0.753
## 2075 3.2 3.2 0.695
## 2076 2.4 2.5 0.789
## 2077 6.4 6.2 0.479
## 2078 0.6 0.4 0.899
## 2079 19.4 19.8 0.542
## 2080 3.0 2.9 0.714
## 2081 1.2 1.1 0.876
## 2082 1.1 1.2 0.514
## 2083 3.0 3.1 0.681
## 2084 1.0 0.9 0.901
## 2085 8.8 8.9 0.376
## 2086 2.1 2.0 0.819
## 2087 3.6 3.4 0.679
## 2088 6.3 6.2 0.570
## 2089 1.1 1.2 0.302
## 2090 6.4 6.3 0.576
## 2091 1.2 1.2 0.000
## 2092 1.0 0.9 0.915
## 2093 0.9 0.8 0.866
## 2094 1.0 0.9 0.794
## 2095 3.5 3.4 0.691
## 2096 2.1 2.0 0.810
## 2097 4.7 4.6 0.000
## 2098 2.9 3.0 0.683
## 2099 15.2 15.0 0.760
## 2100 0.9 0.9 0.894
## 2101 2.3 2.3 0.754
## 2102 18.0 18.6 0.457
## 2103 6.7 6.8 0.456
## 2104 1.6 1.5 0.662
## 2105 8.8 8.7 0.387
## 2106 1.1 1.1 0.920
## 2107 0.2 0.2 0.000
## 2108 4.8 4.8 0.439
## 2109 2.1 2.1 0.761
## 2110 5.9 6.1 0.772
## 2111 1.8 1.7 NA
## 2112 8.3 8.1 0.411
## 2113 1.9 1.6 0.879
## 2114 2.1 2.0 0.663
## 2115 11.0 11.1 0.604
## 2116 2.1 2.2 NA
## 2117 1.2 1.0 0.882
## 2118 1.6 1.5 0.770
## 2119 12.1 12.1 0.475
## 2120 17.2 17.8 0.486
## 2121 1.8 1.8 0.749
## 2122 4.3 4.4 0.710
## 2123 6.4 6.2 0.651
## 2124 1.8 1.7 0.636
## 2125 7.9 7.7 0.776
## 2126 3.5 3.4 0.678
## 2127 0.1 0.1 0.695
## 2128 8.2 8.1 0.514
## 2129 7.5 7.4 0.434
## 2130 4.4 4.4 0.684
## 2131 1.3 1.4 0.759
## 2132 1.5 1.5 0.553
## 2133 0.2 0.1 0.693
## 2134 6.2 6.0 0.488
## 2135 1.9 1.9 0.860
## 2136 3.7 3.6 0.660
## 2137 0.1 0.1 0.679
## 2138 0.6 0.6 0.882
## 2139 1.1 0.9 0.924
## 2140 15.3 15.4 0.735
## 2141 15.4 15.6 0.686
## 2142 1.9 1.8 0.689
## 2143 0.7 0.6 0.910
## 2144 2.1 2.1 NA
## 2145 1.8 1.8 0.632
## 2146 5.5 5.4 0.747
## 2147 2.6 2.3 0.650
## 2148 0.1 0.1 0.676
## 2149 7.1 6.9 0.705
## 2150 1.4 1.3 0.901
## 2151 1.0 0.9 0.911
## 2152 6.0 6.0 0.486
## 2153 2.8 2.8 0.728
## 2154 1.6 1.5 0.670
## 2155 9.2 8.9 0.475
## 2156 9.1 9.1 0.345
## 2157 9.4 9.3 0.000
## 2158 1.3 1.4 0.802
## 2159 15.1 15.0 0.764
## 2160 1.6 1.6 0.753
## 2161 3.6 2.9 0.734
## 2162 11.5 11.3 0.310
## 2163 0.8 0.8 0.878
## 2164 1.9 2.0 0.674
## 2165 0.3 0.3 0.000
## 2166 0.9 1.0 0.850
## 2167 9.9 9.9 0.000
## 2168 6.2 6.6 0.751
## 2169 1.2 1.2 0.494
## 2170 6.5 6.3 0.610
## 2171 3.0 3.1 0.690
## 2172 0.7 0.5 0.818
## 2173 0.6 0.6 0.877
## 2174 9.2 9.0 0.360
## 2175 9.2 9.1 0.569
## 2176 0.3 0.3 0.886
## 2177 2.1 2.2 0.656
## 2178 14.4 15.2 0.655
## 2179 1.0 0.9 0.822
## 2180 1.4 1.4 0.674
## 2181 3.5 3.6 NA
## 2182 1.4 1.4 0.567
## Schooling
## 1 7.0
## 2 15.8
## 3 10.2
## 4 5.4
## 5 10.0
## 6 16.5
## 7 11.6
## 8 18.6
## 9 16.0
## 10 15.3
## 11 17.1
## 12 12.7
## 13 6.4
## 14 12.6
## 15 11.4
## 16 11.2
## 17 12.4
## 18 11.8
## 19 10.4
## 20 13.3
## 21 11.9
## 22 10.7
## 23 13.4
## 24 9.8
## 25 16.3
## 26 14.0
## 27 8.0
## 28 15.3
## 29 12.2
## 30 14.5
## 31 14.6
## 32 10.0
## 33 14.1
## 34 9.0
## 35 14.9
## 36 13.0
## 37 9.0
## 38 11.6
## 39 14.5
## 40 11.5
## 41 15.8
## 42 13.8
## 43 9.1
## 44 12.6
## 45 15.0
## 46 11.4
## 47 10.0
## 48 14.7
## 49 11.3
## 50 12.1
## 51 14.7
## 52 NA
## 53 11.6
## 54 11.4
## 55 9.8
## 56 10.5
## 57 12.3
## 58 12.3
## 59 14.6
## 60 14.6
## 61 13.0
## 62 15.5
## 63 NA
## 64 9.3
## 65 13.7
## 66 17.6
## 67 16.2
## 68 14.2
## 69 9.3
## 70 11.5
## 71 13.7
## 72 7.1
## 73 6.5
## 74 NA
## 75 11.4
## 76 17.6
## 77 6.3
## 78 12.4
## 79 13.1
## 80 10.5
## 81 16.4
## 82 10.9
## 83 14.3
## 84 16.0
## 85 12.5
## 86 13.1
## 87 8.1
## 88 5.5
## 89 13.4
## 90 11.9
## 91 10.1
## 92 7.2
## 93 NA
## 94 17.6
## 95 11.0
## 96 10.3
## 97 12.6
## 98 8.8
## 99 11.6
## 100 13.5
## 101 11.1
## 102 NA
## 103 NA
## 104 20.5
## 105 6.4
## 106 13.0
## 107 9.2
## 108 16.3
## 109 13.1
## 110 8.4
## 111 13.3
## 112 9.4
## 113 13.7
## 114 9.3
## 115 11.9
## 116 11.6
## 117 0.0
## 118 14.1
## 119 15.5
## 120 12.9
## 121 12.9
## 122 12.7
## 123 17.1
## 124 13.3
## 125 5.5
## 126 17.1
## 127 8.2
## 128 11.1
## 129 12.8
## 130 13.0
## 131 13.1
## 132 15.2
## 133 9.2
## 134 8.8
## 135 10.4
## 136 11.6
## 137 NA
## 138 12.4
## 139 7.7
## 140 14.1
## 141 5.5
## 142 11.0
## 143 NA
## 144 11.7
## 145 12.1
## 146 15.8
## 147 9.2
## 148 4.0
## 149 16.1
## 150 11.8
## 151 10.4
## 152 14.9
## 153 12.5
## 154 13.5
## 155 12.8
## 156 14.8
## 157 14.6
## 158 NA
## 159 14.7
## 160 12.4
## 161 NA
## 162 16.2
## 163 12.3
## 164 15.8
## 165 9.0
## 166 13.6
## 167 5.2
## 168 17.2
## 169 8.2
## 170 NA
## 171 13.0
## 172 13.6
## 173 10.3
## 174 12.0
## 175 12.3
## 176 10.6
## 177 11.4
## 178 6.7
## 179 14.0
## 180 16.1
## 181 11.9
## 182 12.0
## 183 8.5
## 184 16.9
## 185 9.4
## 186 13.2
## 187 10.9
## 188 14.4
## 189 3.8
## 190 13.9
## 191 NA
## 192 13.1
## 193 8.3
## 194 12.7
## 195 9.7
## 196 12.4
## 197 13.0
## 198 12.1
## 199 14.2
## 200 10.4
## 201 10.1
## 202 16.0
## 203 9.4
## 204 9.8
## 205 14.0
## 206 9.3
## 207 11.9
## 208 11.9
## 209 13.0
## 210 14.4
## 211 9.6
## 212 12.6
## 213 10.9
## 214 5.6
## 215 13.5
## 216 12.4
## 217 9.1
## 218 12.5
## 219 15.5
## 220 10.5
## 221 15.4
## 222 8.1
## 223 10.3
## 224 12.6
## 225 13.3
## 226 11.6
## 227 10.6
## 228 11.7
## 229 12.5
## 230 19.8
## 231 14.2
## 232 8.4
## 233 10.3
## 234 NA
## 235 12.5
## 236 11.4
## 237 9.8
## 238 16.1
## 239 6.3
## 240 12.8
## 241 12.6
## 242 11.0
## 243 NA
## 244 9.9
## 245 11.6
## 246 11.8
## 247 11.8
## 248 NA
## 249 14.8
## 250 15.0
## 251 13.4
## 252 7.6
## 253 9.8
## 254 12.3
## 255 11.8
## 256 12.0
## 257 13.6
## 258 11.2
## 259 13.7
## 260 NA
## 261 17.9
## 262 5.6
## 263 11.2
## 264 NA
## 265 14.1
## 266 10.7
## 267 11.9
## 268 15.9
## 269 10.2
## 270 15.0
## 271 15.4
## 272 13.2
## 273 14.4
## 274 8.7
## 275 13.8
## 276 12.4
## 277 9.8
## 278 11.9
## 279 10.0
## 280 12.3
## 281 8.6
## 282 12.2
## 283 11.0
## 284 10.1
## 285 5.3
## 286 9.2
## 287 17.0
## 288 17.5
## 289 14.5
## 290 12.1
## 291 14.3
## 292 17.3
## 293 3.9
## 294 12.7
## 295 7.9
## 296 0.0
## 297 11.2
## 298 0.0
## 299 8.4
## 300 8.2
## 301 13.3
## 302 11.9
## 303 13.5
## 304 10.4
## 305 13.2
## 306 13.7
## 307 12.2
## 308 13.0
## 309 15.7
## 310 15.0
## 311 14.8
## 312 12.1
## 313 16.3
## 314 10.8
## 315 16.3
## 316 NA
## 317 13.0
## 318 13.1
## 319 11.3
## 320 10.7
## 321 10.6
## 322 7.3
## 323 11.2
## 324 12.6
## 325 16.3
## 326 5.5
## 327 14.5
## 328 9.0
## 329 12.5
## 330 5.7
## 331 13.3
## 332 17.2
## 333 11.6
## 334 8.1
## 335 0.0
## 336 16.3
## 337 11.1
## 338 9.6
## 339 12.9
## 340 8.4
## 341 3.1
## 342 9.1
## 343 13.3
## 344 14.7
## 345 8.3
## 346 14.9
## 347 8.1
## 348 12.4
## 349 13.2
## 350 11.6
## 351 20.3
## 352 11.6
## 353 10.9
## 354 8.7
## 355 14.2
## 356 12.4
## 357 8.0
## 358 8.8
## 359 15.0
## 360 11.8
## 361 17.7
## 362 16.6
## 363 9.6
## 364 12.5
## 365 0.0
## 366 10.2
## 367 14.7
## 368 12.0
## 369 11.7
## 370 13.2
## 371 5.1
## 372 7.5
## 373 12.7
## 374 NA
## 375 14.5
## 376 10.7
## 377 16.5
## 378 7.1
## 379 7.7
## 380 3.8
## 381 14.7
## 382 10.0
## 383 11.6
## 384 14.3
## 385 13.1
## 386 12.8
## 387 9.8
## 388 12.9
## 389 9.5
## 390 16.6
## 391 12.0
## 392 NA
## 393 12.2
## 394 14.8
## 395 12.8
## 396 15.9
## 397 12.1
## 398 14.3
## 399 15.4
## 400 14.8
## 401 9.7
## 402 NA
## 403 15.8
## 404 13.5
## 405 13.3
## 406 12.9
## 407 11.1
## 408 13.8
## 409 14.5
## 410 8.0
## 411 14.4
## 412 12.6
## 413 10.3
## 414 13.7
## 415 11.7
## 416 6.5
## 417 19.1
## 418 10.3
## 419 11.1
## 420 10.3
## 421 9.0
## 422 13.6
## 423 13.7
## 424 10.5
## 425 15.4
## 426 7.9
## 427 14.7
## 428 15.6
## 429 14.2
## 430 9.4
## 431 11.4
## 432 10.0
## 433 10.2
## 434 7.6
## 435 13.9
## 436 13.3
## 437 11.2
## 438 6.6
## 439 0.0
## 440 11.1
## 441 NA
## 442 15.5
## 443 15.3
## 444 13.1
## 445 10.2
## 446 14.3
## 447 7.3
## 448 12.5
## 449 8.7
## 450 NA
## 451 8.5
## 452 11.8
## 453 5.9
## 454 11.7
## 455 13.3
## 456 15.7
## 457 15.1
## 458 9.7
## 459 12.7
## 460 12.6
## 461 12.1
## 462 15.4
## 463 11.3
## 464 15.7
## 465 9.4
## 466 NA
## 467 15.6
## 468 14.1
## 469 11.1
## 470 14.0
## 471 9.2
## 472 NA
## 473 16.3
## 474 12.3
## 475 5.9
## 476 13.1
## 477 9.8
## 478 13.2
## 479 14.8
## 480 10.0
## 481 0.0
## 482 16.4
## 483 13.5
## 484 13.3
## 485 18.1
## 486 9.3
## 487 8.1
## 488 NA
## 489 10.5
## 490 7.1
## 491 14.9
## 492 15.9
## 493 12.9
## 494 10.4
## 495 14.6
## 496 8.2
## 497 13.5
## 498 18.2
## 499 13.5
## 500 11.5
## 501 11.6
## 502 8.6
## 503 10.3
## 504 8.7
## 505 10.8
## 506 NA
## 507 13.6
## 508 11.9
## 509 10.9
## 510 12.3
## 511 8.9
## 512 15.8
## 513 11.8
## 514 13.0
## 515 NA
## 516 14.3
## 517 12.7
## 518 8.8
## 519 12.7
## 520 9.2
## 521 16.4
## 522 15.9
## 523 9.9
## 524 7.1
## 525 12.0
## 526 14.2
## 527 7.5
## 528 17.3
## 529 NA
## 530 4.9
## 531 7.9
## 532 9.8
## 533 12.1
## 534 14.7
## 535 13.3
## 536 13.7
## 537 9.3
## 538 14.4
## 539 7.0
## 540 4.4
## 541 9.2
## 542 12.7
## 543 9.9
## 544 12.5
## 545 15.0
## 546 11.7
## 547 12.6
## 548 16.8
## 549 12.7
## 550 13.1
## 551 10.1
## 552 16.4
## 553 11.1
## 554 14.0
## 555 15.8
## 556 7.7
## 557 12.2
## 558 13.0
## 559 5.0
## 560 11.6
## 561 8.9
## 562 13.5
## 563 NA
## 564 11.6
## 565 11.6
## 566 14.5
## 567 7.5
## 568 NA
## 569 10.0
## 570 11.3
## 571 14.4
## 572 11.9
## 573 16.9
## 574 11.0
## 575 17.5
## 576 5.9
## 577 11.5
## 578 18.0
## 579 NA
## 580 16.3
## 581 8.0
## 582 5.1
## 583 12.0
## 584 15.6
## 585 11.0
## 586 13.4
## 587 12.7
## 588 13.1
## 589 13.1
## 590 12.8
## 591 10.7
## 592 14.5
## 593 11.0
## 594 15.0
## 595 15.3
## 596 11.7
## 597 13.4
## 598 17.7
## 599 12.3
## 600 14.8
## 601 17.5
## 602 11.7
## 603 18.6
## 604 14.2
## 605 15.8
## 606 12.0
## 607 6.3
## 608 10.2
## 609 13.4
## 610 10.1
## 611 12.2
## 612 13.4
## 613 15.0
## 614 10.4
## 615 15.7
## 616 10.8
## 617 NA
## 618 11.2
## 619 13.2
## 620 10.7
## 621 14.9
## 622 9.1
## 623 10.4
## 624 9.0
## 625 19.3
## 626 15.7
## 627 8.0
## 628 12.9
## 629 13.8
## 630 NA
## 631 9.1
## 632 10.9
## 633 7.9
## 634 5.6
## 635 13.5
## 636 16.6
## 637 NA
## 638 7.7
## 639 8.4
## 640 12.1
## 641 15.8
## 642 15.4
## 643 14.2
## 644 9.5
## 645 15.1
## 646 11.5
## 647 17.4
## 648 10.3
## 649 14.3
## 650 15.4
## 651 12.9
## 652 10.3
## 653 18.2
## 654 12.9
## 655 14.7
## 656 11.9
## 657 12.9
## 658 10.7
## 659 15.5
## 660 NA
## 661 15.8
## 662 10.0
## 663 12.9
## 664 9.8
## 665 12.7
## 666 13.5
## 667 16.2
## 668 14.7
## 669 15.1
## 670 12.7
## 671 19.2
## 672 16.9
## 673 12.2
## 674 NA
## 675 8.6
## 676 11.7
## 677 12.8
## 678 14.1
## 679 12.8
## 680 8.0
## 681 10.7
## 682 10.2
## 683 9.0
## 684 17.1
## 685 8.9
## 686 12.5
## 687 10.9
## 688 11.2
## 689 11.5
## 690 13.7
## 691 8.4
## 692 16.5
## 693 15.3
## 694 14.2
## 695 10.5
## 696 14.2
## 697 11.0
## 698 11.3
## 699 8.9
## 700 9.8
## 701 11.4
## 702 13.9
## 703 15.7
## 704 13.4
## 705 15.0
## 706 10.5
## 707 17.6
## 708 NA
## 709 12.7
## 710 12.6
## 711 9.9
## 712 12.0
## 713 8.0
## 714 16.4
## 715 6.6
## 716 5.5
## 717 10.4
## 718 7.6
## 719 13.4
## 720 11.7
## 721 14.0
## 722 16.4
## 723 13.3
## 724 14.3
## 725 9.0
## 726 13.4
## 727 10.7
## 728 8.1
## 729 12.8
## 730 12.5
## 731 12.9
## 732 15.5
## 733 12.0
## 734 12.4
## 735 13.7
## 736 17.7
## 737 11.7
## 738 13.7
## 739 15.4
## 740 14.3
## 741 12.6
## 742 13.4
## 743 12.3
## 744 13.2
## 745 14.2
## 746 13.5
## 747 12.6
## 748 11.1
## 749 10.5
## 750 15.9
## 751 4.9
## 752 10.0
## 753 13.2
## 754 11.5
## 755 12.2
## 756 11.8
## 757 13.7
## 758 14.4
## 759 6.8
## 760 8.3
## 761 0.0
## 762 9.8
## 763 13.5
## 764 12.2
## 765 9.9
## 766 NA
## 767 8.8
## 768 13.2
## 769 7.3
## 770 11.6
## 771 11.6
## 772 14.8
## 773 13.5
## 774 12.7
## 775 15.6
## 776 0.0
## 777 14.5
## 778 17.5
## 779 10.6
## 780 12.0
## 781 17.3
## 782 NA
## 783 12.2
## 784 14.5
## 785 11.8
## 786 15.3
## 787 7.9
## 788 12.4
## 789 14.2
## 790 8.1
## 791 16.0
## 792 6.5
## 793 11.5
## 794 10.5
## 795 10.8
## 796 8.7
## 797 12.4
## 798 12.9
## 799 10.0
## 800 11.6
## 801 10.8
## 802 15.5
## 803 14.3
## 804 9.1
## 805 14.7
## 806 9.4
## 807 4.4
## 808 13.8
## 809 NA
## 810 NA
## 811 6.3
## 812 13.6
## 813 10.2
## 814 8.3
## 815 7.8
## 816 10.3
## 817 13.1
## 818 0.0
## 819 12.8
## 820 7.1
## 821 10.6
## 822 11.4
## 823 NA
## 824 16.9
## 825 9.4
## 826 10.7
## 827 10.4
## 828 14.2
## 829 10.6
## 830 4.9
## 831 14.0
## 832 10.5
## 833 9.8
## 834 NA
## 835 9.3
## 836 15.5
## 837 8.7
## 838 12.4
## 839 10.2
## 840 11.4
## 841 11.6
## 842 NA
## 843 NA
## 844 9.6
## 845 10.1
## 846 10.9
## 847 9.2
## 848 16.2
## 849 4.7
## 850 10.7
## 851 7.2
## 852 11.6
## 853 12.9
## 854 11.1
## 855 5.7
## 856 NA
## 857 13.5
## 858 13.7
## 859 8.8
## 860 9.6
## 861 10.2
## 862 18.3
## 863 8.5
## 864 18.1
## 865 12.5
## 866 4.5
## 867 12.7
## 868 12.8
## 869 NA
## 870 16.1
## 871 13.1
## 872 13.3
## 873 11.5
## 874 12.0
## 875 10.7
## 876 12.9
## 877 11.2
## 878 15.7
## 879 10.4
## 880 11.7
## 881 16.3
## 882 14.7
## 883 12.8
## 884 8.4
## 885 9.7
## 886 10.7
## 887 14.4
## 888 14.6
## 889 13.0
## 890 15.4
## 891 16.8
## 892 4.0
## 893 NA
## 894 15.1
## 895 16.3
## 896 10.7
## 897 11.1
## 898 16.6
## 899 5.2
## 900 16.4
## 901 9.0
## 902 8.2
## 903 6.3
## 904 12.3
## 905 15.6
## 906 16.1
## 907 15.1
## 908 15.0
## 909 16.5
## 910 10.5
## 911 9.8
## 912 14.4
## 913 15.5
## 914 11.9
## 915 17.3
## 916 12.5
## 917 6.6
## 918 14.8
## 919 7.6
## 920 12.6
## 921 13.6
## 922 10.9
## 923 9.6
## 924 16.0
## 925 12.8
## 926 13.2
## 927 16.6
## 928 13.2
## 929 13.8
## 930 14.4
## 931 6.8
## 932 NA
## 933 11.4
## 934 10.8
## 935 NA
## 936 13.2
## 937 13.1
## 938 17.1
## 939 12.7
## 940 NA
## 941 14.1
## 942 9.6
## 943 14.2
## 944 10.0
## 945 13.0
## 946 14.0
## 947 10.1
## 948 12.9
## 949 5.0
## 950 7.2
## 951 15.9
## 952 8.6
## 953 13.9
## 954 15.0
## 955 12.6
## 956 9.4
## 957 7.8
## 958 12.2
## 959 16.0
## 960 8.5
## 961 7.6
## 962 12.3
## 963 14.0
## 964 NA
## 965 14.3
## 966 16.4
## 967 13.5
## 968 12.7
## 969 14.2
## 970 12.5
## 971 NA
## 972 NA
## 973 9.1
## 974 10.5
## 975 4.9
## 976 14.4
## 977 11.5
## 978 10.7
## 979 11.4
## 980 12.5
## 981 8.1
## 982 7.5
## 983 6.5
## 984 15.0
## 985 10.0
## 986 12.9
## 987 11.8
## 988 NA
## 989 17.6
## 990 14.6
## 991 11.8
## 992 13.0
## 993 5.3
## 994 10.6
## 995 14.6
## 996 13.9
## 997 14.0
## 998 14.2
## 999 12.3
## 1000 12.4
## 1001 10.2
## 1002 7.9
## 1003 4.3
## 1004 10.0
## 1005 9.1
## 1006 15.5
## 1007 15.0
## 1008 11.5
## 1009 11.9
## 1010 7.3
## 1011 11.1
## 1012 13.4
## 1013 13.4
## 1014 8.9
## 1015 13.2
## 1016 9.0
## 1017 11.2
## 1018 15.4
## 1019 14.5
## 1020 12.9
## 1021 0.0
## 1022 12.9
## 1023 20.4
## 1024 12.4
## 1025 11.7
## 1026 0.0
## 1027 11.4
## 1028 15.0
## 1029 14.2
## 1030 10.9
## 1031 17.6
## 1032 16.5
## 1033 12.9
## 1034 12.6
## 1035 12.2
## 1036 8.3
## 1037 9.2
## 1038 11.7
## 1039 NA
## 1040 8.2
## 1041 16.1
## 1042 15.8
## 1043 16.4
## 1044 5.9
## 1045 11.9
## 1046 6.3
## 1047 11.2
## 1048 12.1
## 1049 15.7
## 1050 13.9
## 1051 9.1
## 1052 15.6
## 1053 13.0
## 1054 15.8
## 1055 12.8
## 1056 9.5
## 1057 7.9
## 1058 NA
## 1059 12.8
## 1060 9.9
## 1061 14.2
## 1062 13.8
## 1063 12.0
## 1064 12.1
## 1065 14.4
## 1066 10.0
## 1067 15.3
## 1068 12.6
## 1069 18.1
## 1070 13.3
## 1071 10.2
## 1072 14.6
## 1073 10.1
## 1074 14.2
## 1075 13.6
## 1076 14.8
## 1077 14.6
## 1078 13.3
## 1079 12.3
## 1080 15.8
## 1081 NA
## 1082 11.9
## 1083 12.0
## 1084 12.8
## 1085 12.8
## 1086 13.8
## 1087 16.5
## 1088 NA
## 1089 11.1
## 1090 11.8
## 1091 13.9
## 1092 16.3
## 1093 15.2
## 1094 12.4
## 1095 14.2
## 1096 18.2
## 1097 13.8
## 1098 10.9
## 1099 13.5
## 1100 12.3
## 1101 14.2
## 1102 11.9
## 1103 12.5
## 1104 14.6
## 1105 0.0
## 1106 11.7
## 1107 15.0
## 1108 6.7
## 1109 12.9
## 1110 12.4
## 1111 14.3
## 1112 15.1
## 1113 10.3
## 1114 10.7
## 1115 13.9
## 1116 16.1
## 1117 12.8
## 1118 14.2
## 1119 10.6
## 1120 11.4
## 1121 10.4
## 1122 6.8
## 1123 9.1
## 1124 2.8
## 1125 13.8
## 1126 12.3
## 1127 16.4
## 1128 13.6
## 1129 NA
## 1130 9.0
## 1131 11.7
## 1132 NA
## 1133 13.4
## 1134 6.6
## 1135 6.4
## 1136 NA
## 1137 14.6
## 1138 6.6
## 1139 NA
## 1140 6.8
## 1141 12.1
## 1142 17.4
## 1143 14.0
## 1144 7.3
## 1145 8.2
## 1146 7.0
## 1147 14.5
## 1148 16.8
## 1149 17.0
## 1150 15.7
## 1151 13.3
## 1152 9.0
## 1153 17.1
## 1154 12.1
## 1155 10.4
## 1156 11.9
## 1157 12.9
## 1158 15.5
## 1159 14.2
## 1160 15.5
## 1161 8.4
## 1162 13.7
## 1163 15.3
## 1164 16.5
## 1165 10.8
## 1166 NA
## 1167 11.8
## 1168 12.4
## 1169 12.7
## 1170 10.8
## 1171 15.4
## 1172 12.7
## 1173 13.7
## 1174 15.3
## 1175 2.9
## 1176 15.6
## 1177 11.9
## 1178 12.4
## 1179 10.1
## 1180 15.0
## 1181 5.8
## 1182 10.7
## 1183 11.4
## 1184 12.6
## 1185 12.8
## 1186 8.6
## 1187 11.0
## 1188 10.6
## 1189 13.6
## 1190 16.1
## 1191 19.5
## 1192 14.3
## 1193 11.8
## 1194 13.2
## 1195 10.4
## 1196 10.1
## 1197 14.7
## 1198 6.2
## 1199 13.1
## 1200 12.3
## 1201 11.1
## 1202 NA
## 1203 13.3
## 1204 12.9
## 1205 14.1
## 1206 12.8
## 1207 11.6
## 1208 15.1
## 1209 13.3
## 1210 15.0
## 1211 15.3
## 1212 18.8
## 1213 15.4
## 1214 17.5
## 1215 8.5
## 1216 11.9
## 1217 9.1
## 1218 16.6
## 1219 11.5
## 1220 14.8
## 1221 15.5
## 1222 12.8
## 1223 12.7
## 1224 13.2
## 1225 10.4
## 1226 11.0
## 1227 6.1
## 1228 9.8
## 1229 NA
## 1230 14.1
## 1231 11.9
## 1232 10.0
## 1233 10.3
## 1234 0.0
## 1235 10.5
## 1236 6.7
## 1237 18.4
## 1238 9.5
## 1239 15.1
## 1240 9.2
## 1241 12.9
## 1242 11.2
## 1243 7.3
## 1244 9.8
## 1245 NA
## 1246 15.8
## 1247 17.2
## 1248 12.3
## 1249 12.7
## 1250 3.7
## 1251 6.7
## 1252 NA
## 1253 15.5
## 1254 12.2
## 1255 15.8
## 1256 15.8
## 1257 7.6
## 1258 13.0
## 1259 11.5
## 1260 12.6
## 1261 13.6
## 1262 12.7
## 1263 3.5
## 1264 10.8
## 1265 17.6
## 1266 15.7
## 1267 11.1
## 1268 10.3
## 1269 13.9
## 1270 12.1
## 1271 12.1
## 1272 5.8
## 1273 14.6
## 1274 15.2
## 1275 6.6
## 1276 8.0
## 1277 10.1
## 1278 11.7
## 1279 15.3
## 1280 13.0
## 1281 15.8
## 1282 15.2
## 1283 13.2
## 1284 10.1
## 1285 13.5
## 1286 9.3
## 1287 7.2
## 1288 0.0
## 1289 9.5
## 1290 12.2
## 1291 11.3
## 1292 14.3
## 1293 9.9
## 1294 15.8
## 1295 14.7
## 1296 16.8
## 1297 11.1
## 1298 NA
## 1299 13.8
## 1300 15.9
## 1301 NA
## 1302 8.4
## 1303 12.1
## 1304 18.2
## 1305 15.8
## 1306 11.5
## 1307 8.2
## 1308 15.2
## 1309 13.1
## 1310 14.2
## 1311 7.5
## 1312 8.2
## 1313 5.4
## 1314 15.3
## 1315 8.3
## 1316 NA
## 1317 9.2
## 1318 9.9
## 1319 12.7
## 1320 4.9
## 1321 8.1
## 1322 11.1
## 1323 10.8
## 1324 8.9
## 1325 12.4
## 1326 8.2
## 1327 11.8
## 1328 5.0
## 1329 11.6
## 1330 11.6
## 1331 12.8
## 1332 8.5
## 1333 12.3
## 1334 12.1
## 1335 15.9
## 1336 NA
## 1337 13.4
## 1338 15.6
## 1339 12.1
## 1340 10.1
## 1341 15.7
## 1342 9.6
## 1343 10.8
## 1344 16.5
## 1345 15.2
## 1346 8.2
## 1347 NA
## 1348 7.9
## 1349 13.4
## 1350 7.6
## 1351 15.8
## 1352 14.0
## 1353 14.0
## 1354 13.5
## 1355 13.5
## 1356 15.1
## 1357 14.0
## 1358 10.1
## 1359 15.3
## 1360 NA
## 1361 8.7
## 1362 16.5
## 1363 14.4
## 1364 3.3
## 1365 11.8
## 1366 10.7
## 1367 10.1
## 1368 15.2
## 1369 13.1
## 1370 15.3
## 1371 12.9
## 1372 10.8
## 1373 12.0
## 1374 9.2
## 1375 10.7
## 1376 10.0
## 1377 NA
## 1378 12.9
## 1379 12.5
## 1380 13.7
## 1381 9.4
## 1382 5.9
## 1383 16.7
## 1384 14.4
## 1385 13.5
## 1386 14.4
## 1387 12.3
## 1388 15.4
## 1389 11.0
## 1390 7.1
## 1391 4.3
## 1392 12.1
## 1393 NA
## 1394 16.3
## 1395 9.2
## 1396 13.9
## 1397 NA
## 1398 16.5
## 1399 11.9
## 1400 14.5
## 1401 8.7
## 1402 13.0
## 1403 15.3
## 1404 NA
## 1405 11.1
## 1406 12.3
## 1407 8.5
## 1408 11.4
## 1409 12.4
## 1410 15.2
## 1411 13.3
## 1412 12.4
## 1413 12.8
## 1414 10.6
## 1415 13.3
## 1416 13.0
## 1417 12.9
## 1418 9.7
## 1419 12.8
## 1420 5.6
## 1421 15.4
## 1422 14.4
## 1423 15.7
## 1424 20.7
## 1425 14.9
## 1426 11.4
## 1427 12.0
## 1428 5.3
## 1429 9.6
## 1430 12.5
## 1431 3.9
## 1432 11.7
## 1433 16.8
## 1434 7.2
## 1435 14.9
## 1436 13.5
## 1437 16.2
## 1438 13.0
## 1439 NA
## 1440 13.2
## 1441 13.8
## 1442 12.7
## 1443 NA
## 1444 16.3
## 1445 8.4
## 1446 10.5
## 1447 14.4
## 1448 8.2
## 1449 13.5
## 1450 NA
## 1451 15.7
## 1452 13.9
## 1453 13.2
## 1454 11.8
## 1455 12.5
## 1456 13.2
## 1457 16.8
## 1458 13.1
## 1459 4.9
## 1460 18.5
## 1461 8.7
## 1462 12.3
## 1463 NA
## 1464 13.8
## 1465 17.2
## 1466 NA
## 1467 16.8
## 1468 13.5
## 1469 16.3
## 1470 8.4
## 1471 14.8
## 1472 14.4
## 1473 12.9
## 1474 11.3
## 1475 14.2
## 1476 13.4
## 1477 12.7
## 1478 11.9
## 1479 14.4
## 1480 NA
## 1481 10.8
## 1482 8.5
## 1483 14.8
## 1484 6.3
## 1485 13.9
## 1486 10.5
## 1487 15.4
## 1488 8.0
## 1489 15.3
## 1490 10.6
## 1491 NA
## 1492 6.7
## 1493 13.1
## 1494 12.0
## 1495 13.2
## 1496 16.2
## 1497 6.1
## 1498 15.9
## 1499 14.4
## 1500 12.4
## 1501 15.8
## 1502 10.4
## 1503 5.5
## 1504 12.8
## 1505 12.2
## 1506 12.8
## 1507 8.7
## 1508 10.9
## 1509 13.6
## 1510 14.4
## 1511 12.5
## 1512 13.8
## 1513 12.5
## 1514 NA
## 1515 NA
## 1516 12.2
## 1517 12.6
## 1518 11.8
## 1519 13.3
## 1520 7.9
## 1521 10.4
## 1522 NA
## 1523 14.7
## 1524 NA
## 1525 14.1
## 1526 12.3
## 1527 8.2
## 1528 15.2
## 1529 12.8
## 1530 NA
## 1531 8.7
## 1532 10.5
## 1533 6.7
## 1534 11.0
## 1535 16.3
## 1536 8.1
## 1537 13.5
## 1538 13.2
## 1539 9.1
## 1540 12.7
## 1541 14.5
## 1542 12.0
## 1543 16.6
## 1544 0.0
## 1545 10.5
## 1546 10.5
## 1547 8.2
## 1548 17.7
## 1549 14.6
## 1550 13.7
## 1551 NA
## 1552 9.6
## 1553 16.3
## 1554 10.6
## 1555 13.4
## 1556 11.8
## 1557 9.2
## 1558 9.1
## 1559 NA
## 1560 16.9
## 1561 NA
## 1562 8.4
## 1563 12.4
## 1564 16.9
## 1565 8.9
## 1566 13.1
## 1567 15.6
## 1568 5.0
## 1569 6.2
## 1570 16.1
## 1571 NA
## 1572 11.6
## 1573 10.3
## 1574 15.8
## 1575 11.1
## 1576 14.9
## 1577 14.1
## 1578 10.3
## 1579 13.4
## 1580 9.1
## 1581 NA
## 1582 NA
## 1583 12.9
## 1584 16.9
## 1585 11.0
## 1586 10.0
## 1587 19.0
## 1588 15.1
## 1589 12.5
## 1590 12.5
## 1591 12.4
## 1592 10.6
## 1593 11.0
## 1594 14.7
## 1595 12.6
## 1596 8.7
## 1597 13.9
## 1598 13.5
## 1599 11.5
## 1600 10.5
## 1601 17.6
## 1602 14.5
## 1603 11.9
## 1604 13.3
## 1605 7.6
## 1606 8.5
## 1607 14.9
## 1608 15.5
## 1609 13.9
## 1610 NA
## 1611 14.3
## 1612 10.8
## 1613 13.6
## 1614 12.3
## 1615 4.6
## 1616 NA
## 1617 11.9
## 1618 8.9
## 1619 11.1
## 1620 10.7
## 1621 8.6
## 1622 NA
## 1623 13.5
## 1624 11.6
## 1625 16.0
## 1626 11.4
## 1627 15.4
## 1628 12.0
## 1629 15.1
## 1630 15.3
## 1631 13.4
## 1632 10.6
## 1633 11.8
## 1634 12.7
## 1635 10.3
## 1636 8.9
## 1637 NA
## 1638 10.8
## 1639 15.0
## 1640 13.4
## 1641 17.6
## 1642 NA
## 1643 9.4
## 1644 14.0
## 1645 NA
## 1646 3.5
## 1647 14.4
## 1648 12.3
## 1649 5.0
## 1650 14.6
## 1651 13.0
## 1652 13.3
## 1653 11.0
## 1654 9.2
## 1655 15.9
## 1656 8.2
## 1657 11.9
## 1658 11.4
## 1659 12.1
## 1660 14.4
## 1661 15.5
## 1662 11.5
## 1663 17.7
## 1664 10.0
## 1665 12.6
## 1666 3.9
## 1667 8.1
## 1668 15.8
## 1669 5.2
## 1670 11.7
## 1671 10.9
## 1672 9.1
## 1673 11.0
## 1674 6.4
## 1675 20.3
## 1676 16.6
## 1677 13.0
## 1678 8.5
## 1679 14.7
## 1680 7.3
## 1681 12.2
## 1682 9.1
## 1683 12.6
## 1684 11.3
## 1685 12.5
## 1686 12.4
## 1687 11.7
## 1688 10.6
## 1689 10.0
## 1690 14.6
## 1691 4.6
## 1692 10.9
## 1693 9.7
## 1694 8.8
## 1695 10.4
## 1696 8.9
## 1697 13.3
## 1698 15.8
## 1699 8.9
## 1700 12.1
## 1701 13.7
## 1702 15.3
## 1703 14.9
## 1704 12.3
## 1705 8.3
## 1706 18.8
## 1707 NA
## 1708 12.5
## 1709 10.2
## 1710 16.8
## 1711 10.6
## 1712 12.5
## 1713 15.3
## 1714 16.6
## 1715 11.9
## 1716 2.9
## 1717 14.6
## 1718 14.6
## 1719 19.0
## 1720 10.7
## 1721 8.8
## 1722 10.0
## 1723 12.0
## 1724 9.3
## 1725 10.9
## 1726 7.2
## 1727 7.7
## 1728 5.9
## 1729 6.0
## 1730 14.9
## 1731 17.6
## 1732 20.3
## 1733 NA
## 1734 5.1
## 1735 12.6
## 1736 11.8
## 1737 16.6
## 1738 13.9
## 1739 12.3
## 1740 NA
## 1741 12.5
## 1742 14.2
## 1743 14.7
## 1744 13.4
## 1745 5.4
## 1746 17.9
## 1747 10.8
## 1748 10.3
## 1749 10.8
## 1750 15.3
## 1751 8.0
## 1752 12.0
## 1753 12.9
## 1754 13.2
## 1755 14.8
## 1756 10.0
## 1757 NA
## 1758 10.6
## 1759 13.9
## 1760 5.9
## 1761 11.8
## 1762 15.6
## 1763 11.8
## 1764 13.7
## 1765 15.8
## 1766 15.4
## 1767 16.5
## 1768 11.4
## 1769 10.7
## 1770 9.4
## 1771 15.3
## 1772 12.4
## 1773 10.0
## 1774 5.6
## 1775 11.8
## 1776 4.2
## 1777 17.4
## 1778 13.3
## 1779 12.1
## 1780 4.5
## 1781 12.4
## 1782 13.0
## 1783 8.7
## 1784 15.2
## 1785 16.1
## 1786 10.1
## 1787 9.0
## 1788 10.1
## 1789 9.1
## 1790 NA
## 1791 NA
## 1792 9.9
## 1793 14.7
## 1794 11.0
## 1795 19.7
## 1796 9.7
## 1797 10.5
## 1798 14.6
## 1799 NA
## 1800 5.3
## 1801 10.5
## 1802 12.1
## 1803 13.2
## 1804 11.3
## 1805 8.6
## 1806 8.4
## 1807 16.7
## 1808 6.9
## 1809 5.1
## 1810 12.4
## 1811 8.8
## 1812 NA
## 1813 16.3
## 1814 12.8
## 1815 14.9
## 1816 10.8
## 1817 10.5
## 1818 9.5
## 1819 12.2
## 1820 14.6
## 1821 11.3
## 1822 13.2
## 1823 12.1
## 1824 13.2
## 1825 11.1
## 1826 12.3
## 1827 12.6
## 1828 13.0
## 1829 16.5
## 1830 12.6
## 1831 8.3
## 1832 15.0
## 1833 10.3
## 1834 13.1
## 1835 10.2
## 1836 7.3
## 1837 11.7
## 1838 NA
## 1839 12.9
## 1840 12.1
## 1841 11.9
## 1842 12.3
## 1843 14.9
## 1844 15.5
## 1845 15.3
## 1846 4.7
## 1847 12.5
## 1848 0.0
## 1849 12.5
## 1850 11.4
## 1851 18.1
## 1852 14.0
## 1853 15.7
## 1854 13.6
## 1855 11.5
## 1856 10.7
## 1857 16.0
## 1858 8.5
## 1859 14.3
## 1860 14.4
## 1861 10.6
## 1862 18.4
## 1863 13.3
## 1864 12.9
## 1865 12.9
## 1866 13.5
## 1867 9.6
## 1868 7.0
## 1869 12.7
## 1870 15.4
## 1871 10.6
## 1872 12.3
## 1873 11.5
## 1874 11.5
## 1875 16.5
## 1876 8.8
## 1877 12.3
## 1878 17.1
## 1879 6.2
## 1880 11.8
## 1881 16.4
## 1882 0.0
## 1883 NA
## 1884 9.6
## 1885 13.6
## 1886 NA
## 1887 6.7
## 1888 11.7
## 1889 11.3
## 1890 11.7
## 1891 8.0
## 1892 12.8
## 1893 11.3
## 1894 14.8
## 1895 12.7
## 1896 7.7
## 1897 10.6
## 1898 8.1
## 1899 5.1
## 1900 10.7
## 1901 14.3
## 1902 15.0
## 1903 4.9
## 1904 12.9
## 1905 7.1
## 1906 14.6
## 1907 14.7
## 1908 3.5
## 1909 15.9
## 1910 11.9
## 1911 19.3
## 1912 17.5
## 1913 15.0
## 1914 9.5
## 1915 NA
## 1916 10.7
## 1917 19.5
## 1918 9.7
## 1919 5.1
## 1920 NA
## 1921 9.1
## 1922 14.0
## 1923 8.6
## 1924 NA
## 1925 15.5
## 1926 NA
## 1927 11.4
## 1928 15.1
## 1929 12.9
## 1930 13.4
## 1931 16.1
## 1932 13.3
## 1933 20.4
## 1934 15.7
## 1935 14.4
## 1936 12.7
## 1937 2.9
## 1938 12.6
## 1939 16.0
## 1940 NA
## 1941 NA
## 1942 15.0
## 1943 13.1
## 1944 10.7
## 1945 9.9
## 1946 14.8
## 1947 12.3
## 1948 12.1
## 1949 12.2
## 1950 13.3
## 1951 14.1
## 1952 12.4
## 1953 5.4
## 1954 10.0
## 1955 14.3
## 1956 10.2
## 1957 9.8
## 1958 12.1
## 1959 12.5
## 1960 15.1
## 1961 12.8
## 1962 15.3
## 1963 14.3
## 1964 13.3
## 1965 16.2
## 1966 11.8
## 1967 9.5
## 1968 14.0
## 1969 12.5
## 1970 15.1
## 1971 16.1
## 1972 19.0
## 1973 NA
## 1974 7.6
## 1975 17.3
## 1976 4.3
## 1977 13.6
## 1978 18.6
## 1979 12.6
## 1980 11.1
## 1981 16.2
## 1982 NA
## 1983 9.3
## 1984 13.3
## 1985 18.5
## 1986 16.3
## 1987 15.7
## 1988 12.9
## 1989 14.6
## 1990 NA
## 1991 13.4
## 1992 16.2
## 1993 10.3
## 1994 10.3
## 1995 12.0
## 1996 NA
## 1997 13.1
## 1998 16.0
## 1999 13.9
## 2000 13.1
## 2001 8.5
## 2002 8.8
## 2003 5.8
## 2004 13.3
## 2005 13.4
## 2006 0.0
## 2007 8.9
## 2008 15.4
## 2009 14.8
## 2010 15.0
## 2011 14.5
## 2012 12.8
## 2013 10.3
## 2014 8.0
## 2015 8.2
## 2016 15.2
## 2017 16.2
## 2018 12.9
## 2019 17.1
## 2020 10.6
## 2021 13.9
## 2022 11.3
## 2023 13.5
## 2024 13.9
## 2025 9.2
## 2026 13.3
## 2027 20.6
## 2028 11.1
## 2029 15.0
## 2030 5.4
## 2031 17.9
## 2032 NA
## 2033 NA
## 2034 11.7
## 2035 7.1
## 2036 9.0
## 2037 10.1
## 2038 15.7
## 2039 8.5
## 2040 15.8
## 2041 13.7
## 2042 12.4
## 2043 7.5
## 2044 13.2
## 2045 10.7
## 2046 12.3
## 2047 9.6
## 2048 6.8
## 2049 NA
## 2050 4.8
## 2051 11.7
## 2052 14.0
## 2053 11.3
## 2054 12.4
## 2055 12.2
## 2056 11.6
## 2057 12.9
## 2058 4.5
## 2059 12.1
## 2060 10.1
## 2061 10.2
## 2062 10.8
## 2063 6.6
## 2064 7.8
## 2065 NA
## 2066 15.4
## 2067 5.2
## 2068 15.2
## 2069 15.8
## 2070 8.4
## 2071 10.3
## 2072 10.2
## 2073 13.9
## 2074 12.9
## 2075 14.0
## 2076 15.0
## 2077 11.0
## 2078 15.2
## 2079 7.8
## 2080 13.8
## 2081 15.6
## 2082 9.6
## 2083 12.0
## 2084 18.7
## 2085 10.4
## 2086 12.7
## 2087 12.1
## 2088 12.5
## 2089 7.0
## 2090 11.7
## 2091 6.4
## 2092 19.0
## 2093 18.1
## 2094 16.5
## 2095 11.9
## 2096 12.5
## 2097 14.2
## 2098 13.9
## 2099 14.0
## 2100 18.4
## 2101 13.6
## 2102 9.2
## 2103 8.2
## 2104 12.3
## 2105 7.3
## 2106 17.0
## 2107 10.4
## 2108 7.8
## 2109 13.8
## 2110 12.6
## 2111 NA
## 2112 7.7
## 2113 15.1
## 2114 12.1
## 2115 10.6
## 2116 NA
## 2117 16.3
## 2118 15.7
## 2119 9.8
## 2120 10.0
## 2121 13.3
## 2122 12.6
## 2123 11.6
## 2124 11.6
## 2125 12.9
## 2126 11.5
## 2127 14.6
## 2128 10.7
## 2129 9.7
## 2130 12.4
## 2131 14.2
## 2132 8.8
## 2133 12.9
## 2134 10.4
## 2135 16.5
## 2136 12.3
## 2137 13.5
## 2138 16.1
## 2139 18.7
## 2140 13.4
## 2141 12.5
## 2142 11.1
## 2143 20.3
## 2144 NA
## 2145 10.9
## 2146 15.9
## 2147 11.3
## 2148 13.7
## 2149 10.7
## 2150 16.0
## 2151 17.2
## 2152 10.0
## 2153 14.2
## 2154 12.4
## 2155 7.2
## 2156 6.4
## 2157 7.7
## 2158 14.5
## 2159 14.0
## 2160 15.5
## 2161 13.5
## 2162 5.4
## 2163 18.6
## 2164 10.7
## 2165 0.0
## 2166 13.8
## 2167 4.4
## 2168 12.3
## 2169 9.3
## 2170 10.6
## 2171 12.1
## 2172 16.2
## 2173 16.1
## 2174 5.8
## 2175 11.3
## 2176 18.9
## 2177 10.7
## 2178 12.0
## 2179 17.2
## 2180 13.5
## 2181 NA
## 2182 9.6train %>% filter(infant.deaths > 750)## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 India 2007 Developing 65.2 26 1400
## 2 India 2003 Developing 63.7 216 1700
## 3 India 2011 Developing 66.8 193 1100
## 4 India 2001 Developing 62.9 222 1800
## 5 India 2006 Developing 64.8 28 1500
## 6 India 2013 Developing 67.6 187 1000
## 7 India 2005 Developing 64.4 211 1500
## 8 India 2010 Developing 66.4 196 1200
## 9 India 2008 Developing 65.5 23 1300
## 10 India 2009 Developing 66.0 2 1300
## 11 India 2015 Developing 68.3 181 910
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 1.59 5.2347703 6 41144 14.4 1900
## 2 1.19 19.4808682 NA 47147 12.6 2200
## 3 3.00 64.6059005 44 33634 16.4 1500
## 4 1.00 19.0034061 NA 51780 11.8 2400
## 5 1.37 34.8594267 6 64185 13.9 2000
## 6 3.11 67.6723044 7 13822 17.5 1300
## 7 1.27 3.5096369 8 36711 13.5 2000
## 8 2.77 57.7335986 38 31458 15.9 1600
## 9 1.93 43.0304331 29 44258 14.9 1800
## 10 2.50 0.8441863 37 56188 15.4 1700
## 11 NA 0.0000000 87 90387 18.7 1100
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 67 4.23 64 0.3 118.16637 1179681239
## 2 57 4.30 61 0.3 541.13523 11827848
## 3 79 4.33 82 0.2 1461.67196 124723629
## 4 58 4.50 59 0.3 447.13897 171477855
## 5 66 4.25 65 0.3 792.25970 1161977719
## 6 82 4.53 83 0.2 1452.19537 127856227
## 7 65 4.28 65 0.3 77.81900 1144118674
## 8 76 4.28 79 0.2 1345.77153 12398691
## 9 69 4.34 7 0.3 991.48463 119714696
## 10 73 4.38 74 0.2 19.31777 121427132
## 11 86 NA 87 0.2 1613.18878 1395398
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 27.1 28.0 0.546
## 2 27.3 28.3 0.505
## 3 26.9 27.7 0.580
## 4 27.5 28.5 0.494
## 5 27.1 28.0 0.536
## 6 26.8 27.5 0.599
## 7 27.2 28.1 0.526
## 8 27.0 27.8 0.569
## 9 27.0 27.9 0.556
## 10 27.0 27.8 0.563
## 11 26.7 27.3 0.615
## Schooling
## 1 9.9
## 2 8.6
## 3 10.8
## 4 8.3
## 5 9.7
## 6 11.5
## 7 9.4
## 8 10.4
## 9 10.2
## 10 10.5
## 11 11.6train %>% filter(Country == "India")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 India 2007 Developing 65.2 26 1400
## 2 India 2003 Developing 63.7 216 1700
## 3 India 2011 Developing 66.8 193 1100
## 4 India 2001 Developing 62.9 222 1800
## 5 India 2006 Developing 64.8 28 1500
## 6 India 2013 Developing 67.6 187 1000
## 7 India 2005 Developing 64.4 211 1500
## 8 India 2010 Developing 66.4 196 1200
## 9 India 2008 Developing 65.5 23 1300
## 10 India 2009 Developing 66.0 2 1300
## 11 India 2015 Developing 68.3 181 910
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 1.59 5.2347703 6 41144 14.4 1900
## 2 1.19 19.4808682 NA 47147 12.6 2200
## 3 3.00 64.6059005 44 33634 16.4 1500
## 4 1.00 19.0034061 NA 51780 11.8 2400
## 5 1.37 34.8594267 6 64185 13.9 2000
## 6 3.11 67.6723044 7 13822 17.5 1300
## 7 1.27 3.5096369 8 36711 13.5 2000
## 8 2.77 57.7335986 38 31458 15.9 1600
## 9 1.93 43.0304331 29 44258 14.9 1800
## 10 2.50 0.8441863 37 56188 15.4 1700
## 11 NA 0.0000000 87 90387 18.7 1100
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 67 4.23 64 0.3 118.16637 1179681239
## 2 57 4.30 61 0.3 541.13523 11827848
## 3 79 4.33 82 0.2 1461.67196 124723629
## 4 58 4.50 59 0.3 447.13897 171477855
## 5 66 4.25 65 0.3 792.25970 1161977719
## 6 82 4.53 83 0.2 1452.19537 127856227
## 7 65 4.28 65 0.3 77.81900 1144118674
## 8 76 4.28 79 0.2 1345.77153 12398691
## 9 69 4.34 7 0.3 991.48463 119714696
## 10 73 4.38 74 0.2 19.31777 121427132
## 11 86 NA 87 0.2 1613.18878 1395398
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 27.1 28.0 0.546
## 2 27.3 28.3 0.505
## 3 26.9 27.7 0.580
## 4 27.5 28.5 0.494
## 5 27.1 28.0 0.536
## 6 26.8 27.5 0.599
## 7 27.2 28.1 0.526
## 8 27.0 27.8 0.569
## 9 27.0 27.9 0.556
## 10 27.0 27.8 0.563
## 11 26.7 27.3 0.615
## Schooling
## 1 9.9
## 2 8.6
## 3 10.8
## 4 8.3
## 5 9.7
## 6 11.5
## 7 9.4
## 8 10.4
## 9 10.2
## 10 10.5
## 11 11.6train %>% filter(infant.deaths > 480 & infant.deaths < 520)## Country Year Status Life.expectancy Adult.Mortality infant.deaths Alcohol
## 1 Nigeria 2014 Developing 53.6 362 490 0.01
## 2 Nigeria 2015 Developing 54.5 344 483 NA
## 3 Nigeria 2012 Developing 52.7 374 505 8.54
## 4 Nigeria 2013 Developing 53.2 367 498 8.30
## percentage.expenditure Hepatitis.B Measles BMI under.five.deaths Polio
## 1 263.2111 49 6855 24.7 759 49
## 2 0.0000 49 12423 25.4 747 49
## 3 204.7186 42 6447 23.5 788 42
## 4 194.2033 46 52852 24.1 773 46
## Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 3.67 49 3.9 3221.678 1764652
## 2 NA 49 3.7 2655.158 181181744
## 3 3.30 42 4.4 2755.298 167297284
## 4 3.70 46 3.9 2996.964 17182933
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 1.1 9.9 0.521
## 2 9.8 9.7 0.525
## 3 1.7 1.6 0.507
## 4 1.4 1.2 0.514
## Schooling
## 1 10.0
## 2 10.0
## 3 9.7
## 4 9.8train %>% filter(Country == "Nigeria")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Nigeria 2014 Developing 53.6 362 490
## 2 Nigeria 2006 Developing 49.8 396 549
## 3 Nigeria 2010 Developing 52.0 374 521
## 4 Nigeria 2004 Developing 48.5 47 563
## 5 Nigeria 2003 Developing 48.1 41 567
## 6 Nigeria 2015 Developing 54.5 344 483
## 7 Nigeria 2000 Developing 47.1 45 576
## 8 Nigeria 2009 Developing 51.6 376 527
## 9 Nigeria 2012 Developing 52.7 374 505
## 10 Nigeria 2005 Developing 49.2 4 556
## 11 Nigeria 2007 Developing 55.0 388 542
## 12 Nigeria 2013 Developing 53.2 367 498
## 13 Nigeria 2008 Developing 59.0 386 536
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 0.01 263.211103 49 6855 24.7 759
## 2 9.66 10.357794 27 704 19.9 879
## 3 8.90 133.123087 49 8491 22.2 817
## 4 9.76 57.225558 NA 31521 18.8 907
## 5 9.75 30.195508 NA 141258 18.3 918
## 6 NA 0.000000 49 12423 25.4 747
## 7 9.23 22.481776 NA 212183 16.9 943
## 8 9.05 14.567647 63 1272 21.6 832
## 9 8.54 204.718626 42 6447 23.5 788
## 10 9.71 6.416253 18 110927 19.3 893
## 11 9.55 104.474644 42 2613 2.4 863
## 12 8.30 194.203288 46 52852 24.1 773
## 13 9.30 105.591063 41 9960 21.0 848
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 49 3.67 49 3.9 3221.67813 1764652
## 2 46 3.66 4 5.3 119.74329 14261494
## 3 54 3.47 54 4.8 2327.32670 158578261
## 4 43 4.33 33 5.4 648.81585 135393616
## 5 42 4.50 29 5.4 512.65719 131972533
## 6 49 NA 49 3.7 2655.15798 181181744
## 7 31 2.84 29 4.9 379.11933 1223529
## 8 66 4.24 63 4.9 197.66142 15442181
## 9 42 3.30 42 4.4 2755.29779 167297284
## 10 45 4.11 36 5.4 87.89387 138939478
## 11 54 4.47 42 5.2 1136.82965 14641724
## 12 46 3.70 46 3.9 2996.96432 17182933
## 13 6 4.00 53 5.0 1383.89335 1534739
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 1.1 9.9 0.521
## 2 12.6 12.6 0.466
## 3 11.3 11.2 0.492
## 4 13.2 13.2 0.445
## 5 13.5 13.6 0.000
## 6 9.8 9.7 0.525
## 7 14.3 14.4 0.000
## 8 11.7 11.6 0.487
## 9 1.7 1.6 0.507
## 10 12.9 12.9 0.463
## 11 12.3 12.3 0.477
## 12 1.4 1.2 0.514
## 13 12.0 11.9 0.481
## Schooling
## 1 10.0
## 2 9.0
## 3 9.5
## 4 8.5
## 5 8.1
## 6 10.0
## 7 7.6
## 8 9.3
## 9 9.7
## 10 8.9
## 11 9.1
## 12 9.8
## 13 9.2infant.deaths do not seem to indicate any initial reporting errors. The differences seem to arise due to country.
Check out BMI:
train %>% filter(BMI < 8)## Country Year Status
## 1 Guyana 2007 Developing
## 2 Viet Nam 2002 Developing
## 3 Mauritius 2010 Developing
## 4 Yemen 2014 Developing
## 5 Nicaragua 2011 Developing
## 6 Iraq 2002 Developing
## 7 Romania 2015 Developed
## 8 Bhutan 2010 Developing
## 9 Algeria 2007 Developing
## 10 Philippines 2006 Developing
## 11 United Kingdom of Great Britain and Northern Ireland 2004 Developed
## 12 Seychelles 2006 Developing
## 13 Georgia 2008 Developing
## 14 United States of America 2001 Developed
## 15 Saudi Arabia 2005 Developing
## 16 United States of America 2000 Developed
## 17 Thailand 2003 Developing
## 18 Tunisia 2014 Developing
## 19 Cuba 2001 Developing
## 20 Sri Lanka 2011 Developing
## 21 Finland 2011 Developing
## 22 Dominican Republic 2007 Developing
## 23 China 2012 Developing
## 24 South Africa 2014 Developing
## 25 Serbia 2015 Developing
## 26 Latvia 2013 Developed
## 27 Guinea 2009 Developing
## 28 Turkmenistan 2005 Developing
## 29 Croatia 2009 Developed
## 30 Democratic People's Republic of Korea 2010 Developing
## 31 Papua New Guinea 2004 Developing
## 32 Sao Tome and Principe 2015 Developing
## 33 Lebanon 2005 Developing
## 34 Democratic People's Republic of Korea 2011 Developing
## 35 Antigua and Barbuda 2004 Developing
## 36 Rwanda 2013 Developing
## 37 Pakistan 2008 Developing
## 38 Zambia 2009 Developing
## 39 Costa Rica 2015 Developing
## 40 Solomon Islands 2003 Developing
## 41 Ecuador 2009 Developing
## 42 Bulgaria 2007 Developed
## 43 Swaziland 2011 Developing
## 44 Republic of Moldova 2010 Developing
## 45 Kuwait 2013 Developing
## 46 Mali 2010 Developing
## 47 Iran (Islamic Republic of) 2007 Developing
## 48 Belgium 2005 Developed
## 49 Samoa 2006 Developing
## 50 Tajikistan 2015 Developing
## 51 Côte d'Ivoire 2003 Developing
## 52 Kenya 2012 Developing
## 53 Paraguay 2015 Developing
## 54 Senegal 2008 Developing
## 55 Cabo Verde 2014 Developing
## 56 Iraq 2001 Developing
## 57 Vanuatu 2012 Developing
## 58 Bosnia and Herzegovina 2005 Developing
## 59 Togo 2008 Developing
## 60 Kenya 2013 Developing
## 61 South Africa 2000 Developing
## 62 United Republic of Tanzania 2010 Developing
## 63 Bangladesh 2001 Developing
## 64 Comoros 2007 Developing
## 65 Swaziland 2012 Developing
## 66 New Zealand 2002 Developed
## 67 Rwanda 2014 Developing
## 68 Equatorial Guinea 2007 Developing
## 69 Belgium 2006 Developed
## 70 Spain 2005 Developed
## 71 Madagascar 2015 Developing
## 72 The former Yugoslav republic of Macedonia 2015 Developing
## 73 Germany 2012 Developed
## 74 Belize 2014 Developing
## 75 Turkey 2008 Developing
## 76 Trinidad and Tobago 2008 Developing
## 77 Norway 2014 Developed
## 78 Paraguay 2002 Developing
## 79 Central African Republic 2011 Developing
## 80 Guinea 2010 Developing
## 81 Antigua and Barbuda 2003 Developing
## 82 Tunisia 2003 Developing
## 83 Gabon 2005 Developing
## 84 Kazakhstan 2012 Developing
## 85 Egypt 2014 Developing
## 86 Zimbabwe 2012 Developing
## 87 Austria 2001 Developed
## 88 Mauritania 2015 Developing
## 89 El Salvador 2006 Developing
## 90 Portugal 2013 Developed
## 91 Austria 2000 Developed
## 92 Djibouti 2005 Developing
## 93 Montenegro 2012 Developing
## 94 Slovenia 2015 Developed
## 95 Senegal 2007 Developing
## 96 Fiji 2000 Developing
## 97 Kyrgyzstan 2010 Developing
## 98 Bulgaria 2006 Developed
## 99 Panama 2005 Developing
## 100 Angola 2010 Developing
## 101 Poland 2013 Developed
## 102 Guinea-Bissau 2006 Developing
## 103 Belarus 2012 Developing
## 104 Saint Vincent and the Grenadines 2011 Developing
## 105 Uzbekistan 2010 Developing
## 106 Republic of Korea 2013 Developing
## 107 Ukraine 2013 Developing
## 108 New Zealand 2003 Developed
## 109 Mauritius 2009 Developing
## 110 Cyprus 2015 Developed
## 111 Myanmar 2011 Developing
## 112 Cuba 2014 Developing
## 113 Lithuania 2010 Developed
## 114 Indonesia 2007 Developing
## 115 Malaysia 2015 Developing
## 116 Colombia 2005 Developing
## 117 United Arab Emirates 2013 Developing
## 118 Democratic Republic of the Congo 2012 Developing
## 119 Belgium 2007 Developed
## 120 Barbados 2010 Developing
## 121 Sao Tome and Principe 2000 Developing
## 122 Mozambique 2011 Developing
## 123 Sierra Leone 2008 Developing
## 124 Jamaica 2010 Developing
## 125 Sierra Leone 2007 Developing
## 126 Gambia 2004 Developing
## 127 Hungary 2008 Developed
## 128 United Republic of Tanzania 2009 Developing
## 129 Bahrain 2010 Developing
## 130 Gabon 2004 Developing
## 131 Luxembourg 2012 Developed
## 132 Republic of Moldova 2011 Developing
## 133 Portugal 2001 Developed
## 134 Australia 2004 Developed
## 135 Portugal 2014 Developed
## 136 Mongolia 2003 Developing
## 137 Zambia 2010 Developing
## 138 Ireland 2012 Developed
## 139 Equatorial Guinea 2005 Developing
## 140 Finland 2010 Developing
## 141 Armenia 2009 Developing
## 142 Liberia 2001 Developing
## 143 Liberia 2000 Developing
## 144 Botswana 2001 Developing
## 145 Mongolia 2013 Developing
## 146 Somalia 2007 Developing
## 147 Singapore 2007 Developed
## 148 Republic of Korea 2012 Developing
## 149 Brunei Darussalam 2004 Developing
## 150 Czechia 2003 Developed
## 151 Greece 2005 Developing
## 152 Iceland 2013 Developed
## 153 Lesotho 2011 Developing
## 154 Bahamas 2009 Developing
## 155 Luxembourg 2013 Developed
## 156 Tonga 2007 Developing
## 157 Azerbaijan 2013 Developing
## 158 Uruguay 2009 Developing
## 159 Saint Kitts and Nevis 2013 Developing
## 160 Turkmenistan 2004 Developing
## 161 Nigeria 2007 Developing
## 162 Congo 2003 Developing
## 163 Bahrain 2011 Developing
## 164 Viet Nam 2004 Developing
## 165 Benin 2005 Developing
## 166 Namibia 2008 Developing
## 167 Morocco 2007 Developing
## 168 Viet Nam 2003 Developing
## 169 Seychelles 2005 Developing
## 170 Fiji 2012 Developing
## 171 Armenia 2008 Developing
## 172 Singapore 2005 Developed
## 173 Luxembourg 2014 Developed
## 174 Saudi Arabia 2006 Developing
## 175 Croatia 2010 Developed
## 176 Maldives 2008 Developing
## 177 Honduras 2014 Developing
## 178 Ukraine 2014 Developing
## 179 Equatorial Guinea 2006 Developing
## 180 Costa Rica 2005 Developing
## 181 Grenada 2005 Developing
## 182 Peru 2007 Developing
## 183 Mexico 2011 Developing
## 184 Russian Federation 2015 Developing
## 185 Somalia 2006 Developing
## 186 El Salvador 2007 Developing
## 187 Portugal 2000 Developed
## 188 Thailand 2002 Developing
## 189 Lithuania 2012 Developed
## 190 Pakistan 2007 Developing
## 191 Benin 2004 Developing
## 192 Norway 2013 Developed
## 193 Brunei Darussalam 2014 Developing
## 194 Libya 2011 Developing
## 195 Switzerland 2000 Developed
## 196 France 2010 Developing
## 197 Ghana 2002 Developing
## 198 Djibouti 2006 Developing
## 199 Jordan 2008 Developing
## 200 Democratic Republic of the Congo 2013 Developing
## 201 Singapore 2006 Developed
## 202 Australia 2003 Developed
## 203 Sao Tome and Principe 2014 Developing
## 204 Canada 2004 Developing
## 205 Guyana 2008 Developing
## 206 Republic of Korea 2011 Developing
## 207 Djibouti 2007 Developing
## 208 Lesotho 2012 Developing
## 209 Solomon Islands 2015 Developing
## 210 Liberia 2002 Developing
## 211 Iceland 2014 Developed
## 212 Lebanon 2004 Developing
## 213 Czechia 2004 Developed
## 214 Uruguay 2008 Developing
## 215 Syrian Arab Republic 2008 Developing
## 216 Tonga 2006 Developing
## 217 Zimbabwe 2013 Developing
## 218 France 2011 Developing
## Life.expectancy Adult.Mortality infant.deaths Alcohol
## 1 65.7 232 1 7.20
## 2 73.8 137 30 2.03
## 3 73.3 163 0 2.95
## 4 65.4 228 37 0.01
## 5 74.5 147 3 3.39
## 6 74.0 14 30 0.15
## 7 75.0 133 2 NA
## 8 67.9 228 1 0.28
## 9 73.8 129 20 0.44
## 10 67.3 219 63 4.08
## 11 78.8 83 4 12.22
## 12 72.2 185 0 8.12
## 13 73.9 128 1 7.17
## 14 76.9 115 28 8.25
## 15 73.1 11 9 0.05
## 16 76.8 114 28 8.21
## 17 71.7 189 15 6.14
## 18 75.1 12 3 1.39
## 19 76.7 115 1 4.04
## 20 74.5 141 3 3.03
## 21 83.0 86 0 9.81
## 22 72.9 164 6 6.05
## 23 75.4 89 201 5.74
## 24 62.0 347 42 7.38
## 25 75.6 121 1 NA
## 26 74.1 161 0 10.37
## 27 57.3 297 29 0.18
## 28 63.3 248 6 2.85
## 29 76.3 19 0 12.21
## 30 69.0 157 8 3.12
## 31 59.9 314 11 0.58
## 32 67.5 19 0 NA
## 33 73.9 11 1 1.94
## 34 69.4 153 8 3.39
## 35 74.4 149 0 7.28
## 36 65.2 233 12 0.01
## 37 64.6 177 369 0.03
## 38 57.4 368 30 2.30
## 39 79.6 95 1 NA
## 40 66.8 215 0 1.18
## 41 75.1 137 7 3.87
## 42 72.6 157 1 10.89
## 43 55.0 438 2 5.20
## 44 68.8 219 1 8.25
## 45 74.5 83 1 0.01
## 46 56.5 273 54 0.60
## 47 72.4 138 25 0.02
## 48 78.9 89 0 12.27
## 49 72.0 153 0 3.52
## 50 69.7 161 10 NA
## 51 48.0 473 64 3.12
## 52 62.1 263 59 1.81
## 53 74.0 146 2 NA
## 54 62.8 225 22 0.28
## 55 73.0 117 0 0.01
## 56 72.0 142 30 0.17
## 57 71.4 138 0 0.01
## 58 75.0 12 0 4.56
## 59 56.2 344 14 1.33
## 60 62.6 258 58 1.84
## 61 57.3 397 51 7.30
## 62 57.5 36 89 4.19
## 63 65.8 168 219 0.01
## 64 66.0 259 2 0.16
## 65 56.5 412 2 0.01
## 66 78.7 83 0 9.13
## 67 65.7 23 12 0.01
## 68 55.0 339 3 6.86
## 69 79.4 85 0 10.98
## 70 81.0 77 2 11.92
## 71 65.5 22 28 NA
## 72 75.7 12 0 NA
## 73 86.0 71 2 11.18
## 74 70.0 177 0 6.58
## 75 73.5 121 25 1.39
## 76 69.9 185 0 6.41
## 77 81.6 61 0 6.06
## 78 71.5 168 4 5.66
## 79 49.8 443 16 1.66
## 80 57.8 291 29 0.20
## 81 74.2 151 0 7.16
## 82 73.7 17 4 1.34
## 83 65.0 37 2 7.72
## 84 69.1 214 6 6.82
## 85 78.0 161 53 0.21
## 86 56.6 429 26 6.09
## 87 78.6 92 0 12.40
## 88 63.1 25 8 NA
## 89 75.0 211 3 2.77
## 90 86.0 79 0 10.00
## 91 78.1 96 0 13.20
## 92 58.6 318 2 1.23
## 93 75.6 11 0 0.01
## 94 88.0 74 0 NA
## 95 62.1 23 22 0.32
## 96 67.7 221 0 2.05
## 97 68.8 199 4 2.73
## 98 72.2 161 1 10.39
## 99 75.8 122 1 5.53
## 100 49.6 365 78 7.80
## 101 77.1 12 2 11.63
## 102 54.4 36 5 3.22
## 103 71.9 194 0 16.35
## 104 72.7 16 0 7.02
## 105 68.3 183 20 2.73
## 106 81.7 68 1 9.33
## 107 71.0 198 4 8.44
## 108 79.1 82 0 8.91
## 109 72.8 166 0 2.83
## 110 85.0 52 0 NA
## 111 65.6 27 47 0.33
## 112 79.0 93 1 4.37
## 113 72.4 188 0 12.90
## 114 67.5 19 154 0.06
## 115 75.0 123 4 NA
## 116 73.1 144 15 4.38
## 117 76.7 78 1 1.82
## 118 58.3 277 239 0.01
## 119 79.5 86 0 10.25
## 120 74.7 16 0 8.41
## 121 62.6 224 0 5.07
## 122 54.3 47 66 0.94
## 123 46.2 441 29 3.91
## 124 75.0 138 1 3.55
## 125 45.3 45 29 3.86
## 126 57.3 296 3 2.51
## 127 74.1 165 1 11.64
## 128 56.9 368 91 3.97
## 129 76.1 73 0 1.93
## 130 59.7 322 2 8.13
## 131 81.1 7 0 11.34
## 132 77.0 177 1 9.45
## 133 76.9 11 1 12.22
## 134 86.0 69 1 9.84
## 135 89.0 78 0 9.88
## 136 64.0 271 2 1.31
## 137 58.0 363 30 2.47
## 138 85.0 69 0 11.49
## 139 54.4 337 3 7.19
## 140 79.9 89 0 9.72
## 141 73.3 137 1 3.96
## 142 51.5 333 14 4.40
## 143 51.9 39 14 4.46
## 144 46.7 679 2 5.48
## 145 68.1 227 1 0.01
## 146 51.5 34 52 0.01
## 147 81.1 65 0 1.60
## 148 81.2 69 1 9.56
## 149 76.4 89 0 0.11
## 150 75.2 122 0 13.01
## 151 79.3 81 0 9.95
## 152 82.4 5 0 7.31
## 153 52.3 52 4 2.39
## 154 74.6 168 0 9.29
## 155 81.4 68 0 11.02
## 156 72.5 146 0 2.05
## 157 72.2 121 5 2.14
## 158 76.6 118 0 6.67
## 159 NA NA 0 8.54
## 160 63.5 238 6 2.86
## 161 55.0 388 542 9.55
## 162 53.2 417 9 2.45
## 163 76.1 76 0 1.66
## 164 74.2 136 29 2.86
## 165 56.5 285 25 1.13
## 166 61.7 317 3 6.28
## 167 71.4 128 21 0.56
## 168 74.0 137 30 2.19
## 169 72.2 185 0 7.82
## 170 69.4 195 0 0.01
## 171 73.2 14 1 3.96
## 172 82.0 69 0 1.49
## 173 81.7 65 0 11.12
## 174 73.2 1 9 0.08
## 175 76.6 16 0 12.10
## 176 75.9 81 0 1.76
## 177 74.5 149 3 2.87
## 178 78.0 23 4 8.06
## 179 54.8 337 3 7.28
## 180 78.6 97 1 4.10
## 181 71.5 169 0 8.80
## 182 74.0 133 11 4.29
## 183 76.1 124 34 5.30
## 184 75.0 222 13 NA
## 185 51.5 337 51 0.01
## 186 71.2 23 2 2.83
## 187 76.6 11 1 11.89
## 188 71.4 192 16 5.93
## 189 73.0 176 0 15.14
## 190 64.4 178 367 0.03
## 191 56.1 285 25 1.15
## 192 81.5 62 0 6.21
## 193 77.6 8 0 0.01
## 194 71.3 161 2 0.01
## 195 79.7 78 0 11.26
## 196 81.3 86 3 11.70
## 197 57.6 31 42 1.60
## 198 59.1 39 2 1.02
## 199 73.1 119 4 0.61
## 200 58.8 272 238 0.01
## 201 87.0 66 0 1.55
## 202 83.0 71 1 9.97
## 203 67.3 191 0 0.01
## 204 80.0 77 2 7.80
## 205 66.3 218 1 7.32
## 206 81.1 72 2 9.34
## 207 59.8 296 1 0.45
## 208 52.2 513 4 0.01
## 209 69.2 177 0 NA
## 210 56.0 371 13 4.27
## 211 82.5 49 0 7.45
## 212 73.7 13 1 2.10
## 213 75.8 116 0 13.24
## 214 76.4 119 1 6.76
## 215 73.8 122 8 0.80
## 216 72.4 148 0 1.79
## 217 58.0 399 25 6.39
## 218 81.7 83 3 11.80
## percentage.expenditure Hepatitis.B Measles BMI under.five.deaths Polio
## 1 362.870227 94 0 4.3 1 94
## 2 0.000000 NA 6755 1.0 39 92
## 3 0.108056 99 12 3.7 0 99
## 4 0.000000 73 815 4.4 47 67
## 5 321.613259 98 0 5.9 3 99
## 6 0.000000 65 0 5.6 37 76
## 7 0.000000 9 4 6.7 2 89
## 8 244.039195 91 21 2.3 1 92
## 9 320.323924 9 0 5.8 23 95
## 10 121.362547 77 9 2.6 82 88
## 11 0.000000 NA 189 6.1 4 92
## 12 102.373909 99 10 3.7 0 99
## 13 151.762567 89 56 5.5 1 9
## 14 0.000000 89 116 6.9 33 89
## 15 1117.048134 97 373 6.2 10 96
## 16 0.000000 9 85 6.1 33 9
## 17 282.836461 96 4519 2.9 18 98
## 18 604.870132 98 15 6.2 3 98
## 19 322.586315 98 0 5.4 1 99
## 20 20.833024 99 60 2.5 4 99
## 21 71.016208 NA 27 6.6 0 99
## 22 74.821749 81 0 5.4 8 86
## 23 94.434457 99 6183 3.0 233 99
## 24 922.050731 8 66 5.3 52 77
## 25 0.000000 94 383 6.0 1 95
## 26 150.311688 94 0 6.2 0 94
## 27 24.847636 57 264 2.3 46 6
## 28 2.198886 99 0 4.7 8 99
## 29 2160.380199 97 2 6.0 0 96
## 30 0.000000 93 0 3.3 10 99
## 31 158.001946 6 1385 4.4 15 59
## 32 0.000000 96 0 3.9 0 96
## 33 630.054072 77 618 6.8 1 74
## 34 0.000000 94 0 3.8 10 99
## 35 22.862952 97 0 4.8 0 97
## 36 11.710907 98 17 2.1 17 98
## 37 5.447134 65 1129 2.6 460 7
## 38 143.869887 94 26 2.2 47 93
## 39 0.000000 92 0 6.5 1 92
## 40 16.831706 79 0 4.4 0 84
## 41 282.144007 91 0 5.0 8 91
## 42 591.510098 95 1 6.9 1 95
## 43 735.709098 91 0 3.2 3 85
## 44 0.000000 98 0 5.4 1 97
## 45 2792.677582 99 62 7.2 1 99
## 46 9.585584 72 1719 2.7 91 77
## 47 0.000000 97 133 5.4 29 98
## 48 5068.214488 77 26 6.2 1 97
## 49 40.228557 35 0 7.3 0 37
## 50 0.000000 96 3 4.7 11 96
## 51 0.000000 63 4770 2.9 92 68
## 52 154.226970 94 0 2.1 84 94
## 53 0.000000 93 0 5.2 3 89
## 54 1.088331 88 6 2.8 34 87
## 55 414.024242 97 0 3.5 0 95
## 56 0.000000 66 4088 5.1 37 8
## 57 427.988522 64 0 5.8 0 65
## 58 45.713543 93 23 5.5 0 95
## 59 69.359248 24 187 2.4 22 8
## 60 165.930498 93 190 2.7 81 94
## 61 45.963808 73 1459 4.1 73 71
## 62 0.000000 91 167 2.7 131 94
## 63 3.395070 NA 4414 1.8 298 85
## 64 9.087638 75 0 2.1 2 75
## 65 720.233393 95 0 3.7 3 92
## 66 2892.257132 89 21 6.3 0 84
## 67 7.549797 98 10 2.8 16 98
## 68 1024.519543 NA 5 2.9 4 54
## 69 5579.199083 94 15 6.6 1 99
## 70 405.447598 96 22 6.5 2 96
## 71 0.000000 69 3 2.5 38 71
## 72 0.000000 92 1 6.3 0 92
## 73 839.913320 88 166 6.9 3 94
## 74 670.092088 95 0 5.1 0 95
## 75 22.672718 92 0 6.2 29 96
## 76 1902.693048 9 0 4.2 0 91
## 77 177.638288 NA 3 6.8 0 93
## 78 152.829397 NA 0 4.6 4 87
## 79 58.529475 47 679 2.7 24 47
## 80 29.747340 64 45 2.8 44 62
## 81 1158.065259 99 0 4.1 0 99
## 82 321.769417 92 22 5.6 4 95
## 83 353.243803 28 0 3.8 3 44
## 84 235.356607 95 55 5.6 7 98
## 85 0.000000 94 1314 6.2 62 94
## 86 92.602336 97 0 3.3 39 95
## 87 3582.848308 44 0 5.6 0 83
## 88 0.000000 73 1 3.8 12 67
## 89 57.745626 96 0 5.1 3 96
## 90 2698.018170 98 1 6.2 0 98
## 91 3557.455507 33 0 5.1 0 71
## 92 12.703259 NA 298 3.2 2 71
## 93 648.133178 9 0 6.2 0 94
## 94 0.000000 NA 18 6.1 0 95
## 95 8.309153 94 11 2.3 36 93
## 96 31.258346 98 0 5.2 0 91
## 97 0.000000 96 0 4.7 4 88
## 98 508.630459 96 1 6.3 1 96
## 99 623.910050 92 0 5.3 2 88
## 100 191.653741 77 1190 2.4 121 81
## 101 23.435335 96 84 6.4 2 95
## 102 21.533749 NA 0 2.7 8 74
## 103 91.709621 97 10 6.5 1 98
## 104 0.000000 96 0 5.3 0 96
## 105 119.457115 99 117 4.7 23 99
## 106 0.000000 99 107 3.8 2 99
## 107 52.425296 46 0 6.1 5 72
## 108 3661.792922 89 66 6.9 0 86
## 109 624.236183 99 15 3.2 0 99
## 110 0.000000 97 0 6.3 0 97
## 111 21.236988 4 2046 2.5 61 9
## 112 13.669102 97 0 6.7 1 99
## 113 1423.802386 94 2 6.0 0 95
## 114 102.633435 76 19456 2.5 188 77
## 115 0.000000 99 1318 4.6 4 99
## 116 531.980818 93 0 5.5 18 93
## 117 377.200913 98 0 6.5 1 98
## 118 0.000000 75 72029 2.1 317 76
## 119 640.356092 94 64 6.9 1 99
## 120 154.963086 86 0 5.7 0 9
## 121 0.000000 NA 0 2.7 0 87
## 122 40.806180 76 177 2.9 94 73
## 123 5.379606 77 44 2.7 44 75
## 124 396.627097 94 0 5.5 1 94
## 125 45.571089 63 0 2.2 45 63
## 126 0.000000 95 0 2.3 6 88
## 127 181.763408 NA 0 6.5 1 99
## 128 0.000000 85 1574 2.2 135 88
## 129 266.769612 99 0 6.1 0 99
## 130 443.475063 NA 63 3.3 3 44
## 131 2284.582150 94 2 6.1 0 99
## 132 0.000000 96 0 5.9 1 96
## 133 1657.328352 7 0 5.9 1 96
## 134 588.568371 95 70 6.9 1 92
## 135 271.254553 98 0 6.9 0 98
## 136 56.056864 98 18 4.5 2 98
## 137 184.364910 83 15754 2.7 45 8
## 138 6616.695125 95 107 6.5 0 95
## 139 12.066167 NA 0 2.2 4 5
## 140 591.669141 NA 5 6.2 0 99
## 141 201.185546 93 0 5.7 1 94
## 142 16.721429 NA 1379 2.4 20 54
## 143 12.197097 NA 5977 2.2 20 56
## 144 306.952735 87 1 3.5 4 97
## 145 241.195864 98 0 5.4 1 98
## 146 0.000000 NA 1149 2.7 84 4
## 147 3082.973535 96 15 3.9 0 97
## 148 0.000000 99 2 3.4 2 99
## 149 1504.300040 99 16 3.1 0 92
## 150 0.000000 92 30 6.4 0 97
## 151 2785.139364 93 122 6.5 1 96
## 152 764.544069 NA 0 6.2 0 91
## 153 195.825251 96 172 3.2 6 95
## 154 0.000000 95 0 6.7 0 97
## 155 15515.752340 94 0 6.5 0 99
## 156 568.869281 87 0 7.8 0 88
## 157 275.651493 93 164 5.6 6 96
## 158 1871.736563 95 0 6.7 1 95
## 159 0.000000 97 0 5.2 0 96
## 160 186.101397 96 1 4.0 8 98
## 161 104.474644 42 2613 2.4 863 54
## 162 0.000000 NA 3712 2.7 14 5
## 163 197.773468 99 0 6.8 0 99
## 164 0.000000 94 217 1.9 36 96
## 165 7.106997 7 210 2.5 39 73
## 166 59.550335 NA 0 3.2 4 83
## 167 157.643145 95 2248 5.8 25 95
## 168 0.000000 78 2297 1.4 37 96
## 169 21.465313 99 0 3.1 0 99
## 170 431.485487 99 0 6.2 0 99
## 171 2.888898 89 0 5.1 1 91
## 172 2356.731479 96 33 3.2 0 96
## 173 16255.161980 94 0 6.9 0 99
## 174 1395.454965 96 807 6.9 10 96
## 175 206.886818 97 7 6.6 0 97
## 176 1077.712092 98 0 2.3 0 98
## 177 345.377634 97 0 5.2 4 97
## 178 5.663849 22 0 6.7 5 45
## 179 827.597933 NA 0 2.5 4 52
## 180 1002.833273 9 1 5.3 1 91
## 181 119.554869 99 0 4.5 0 99
## 182 516.403702 93 0 5.2 15 93
## 183 1117.196097 98 3 6.8 39 97
## 184 0.000000 97 843 6.5 15 97
## 185 0.000000 NA 7 2.2 83 26
## 186 52.301722 99 0 5.8 3 99
## 187 167.328017 58 45 5.1 1 96
## 188 27.638103 95 10315 2.2 19 97
## 189 1807.071336 93 0 6.9 0 93
## 190 3.912745 75 2801 2.1 459 75
## 191 10.736281 75 262 2.1 39 74
## 192 234.782883 NA 8 6.3 0 94
## 193 269.143278 99 1 4.2 0 99
## 194 36.115674 98 0 6.9 2 98
## 195 5834.582046 NA 0 5.8 0 95
## 196 72.800121 65 5048 6.1 3 99
## 197 3.336438 8 12289 2.7 63 8
## 198 121.481208 NA 49 3.6 2 72
## 199 535.278640 97 2 6.1 4 98
## 200 0.000000 74 88381 2.6 314 74
## 201 2639.376955 95 23 3.5 0 95
## 202 3829.550928 95 91 6.3 1 92
## 203 225.730775 95 0 3.1 0 95
## 204 5513.329924 14 7 6.6 2 91
## 205 493.327929 93 0 4.9 1 93
## 206 0.000000 99 42 3.0 2 98
## 207 20.868787 25 24 3.9 2 88
## 208 168.134899 95 179 3.8 6 93
## 209 0.000000 98 0 5.5 0 99
## 210 10.424369 NA 131 2.7 19 51
## 211 8254.020763 NA 0 6.6 0 9
## 212 618.361486 75 213 6.2 1 74
## 213 0.000000 98 17 6.8 0 96
## 214 24.731423 94 0 6.1 1 94
## 215 0.000000 83 19 5.4 9 83
## 216 503.588196 89 0 7.1 0 89
## 217 10.666707 95 0 3.8 36 95
## 218 683.919057 74 14949 6.6 3 99
## Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 6.45 94 1.9 2327.583240 747869
## 2 4.70 75 0.2 NA NA
## 3 5.29 99 0.2 8.376432 1254
## 4 5.64 73 0.1 NA NA
## 5 6.39 98 0.1 1682.957924 58782
## 6 NA 77 0.1 NA 24939299
## 7 NA 89 0.1 8958.788593 19815481
## 8 5.17 91 0.5 2178.921383 727641
## 9 3.82 95 0.1 3935.183343 34376
## 10 3.95 88 0.1 1391.772325 8789419
## 11 7.98 92 0.1 NA NA
## 12 3.73 99 0.1 1214.399870 846
## 13 8.99 92 0.1 3174.949100 43
## 14 13.73 94 0.1 NA NA
## 15 3.42 96 0.1 13739.829450 NA
## 16 13.70 94 0.1 NA NA
## 17 3.58 98 0.6 2358.936290 64554952
## 18 7.00 98 0.1 4271.681720 1114398
## 19 6.27 98 0.1 2832.188893 NA
## 20 3.28 99 0.1 322.992615 2271
## 21 9.10 99 0.1 579.724150 5388272
## 22 4.34 85 1.6 4647.313590 954353
## 23 5.26 99 0.1 6337.882993 135695
## 24 8.80 77 3.7 6479.625659 54146735
## 25 NA 95 0.1 5237.255334 795383
## 26 5.67 94 0.1 1532.229240 212647
## 27 3.85 57 2.3 436.689554 1556524
## 28 3.51 99 0.1 174.514750 4754641
## 29 8.18 96 0.1 14157.144160 442978
## 30 NA 93 0.1 NA NA
## 31 8.39 62 1.5 637.361621 6161517
## 32 NA 96 0.2 1624.639630 195553
## 33 8.42 77 0.1 5339.441291 3986852
## 34 NA 94 0.1 NA NA
## 35 4.21 97 0.1 1352.837400 NA
## 36 7.69 98 0.5 688.876856 1165151
## 37 3.26 62 0.1 139.312880 16364463
## 38 4.73 94 9.1 1139.112330 13456417
## 39 NA 92 0.1 1146.362730 487852
## 40 6.00 84 0.1 744.765742 446769
## 41 5.58 94 0.1 4255.565710 14691275
## 42 6.41 95 0.1 5932.899677 7545338
## 43 8.61 91 15.7 3934.273250 1225258
## 44 12.80 9 0.1 NA NA
## 45 2.56 99 0.1 48399.958100 NA
## 46 6.35 73 1.5 78.377632 157585
## 47 5.84 99 0.1 NA NA
## 48 9.24 97 0.1 36967.282920 1478617
## 49 4.68 39 0.1 287.963899 18194
## 50 NA 96 0.2 918.677154 8548651
## 51 4.65 61 6.7 NA NA
## 52 5.49 94 3.0 1155.258200 43646629
## 53 NA 93 0.2 419.367724 6639119
## 54 4.94 88 0.6 11.336780 1223957
## 55 4.76 95 0.2 3529.618430 526437
## 56 NA 78 0.1 NA 24251649
## 57 3.70 64 0.1 3158.586880 247485
## 58 8.50 93 0.1 2968.411860 378153
## 59 5.73 81 4.8 513.391914 6161796
## 60 5.57 87 3.0 1229.114798 44826849
## 61 8.70 73 21.3 337.225300 44896856
## 62 5.30 91 4.6 NA NA
## 63 2.47 85 0.1 42.598115 1341716
## 64 4.93 75 0.1 72.759313 64162
## 65 8.76 95 12.2 3851.515470 1248158
## 66 7.89 9 0.1 16874.312320 NA
## 67 7.53 98 0.4 76.569952 11345357
## 68 2.25 41 5.9 15761.839130 829327
## 69 9.17 98 0.1 38852.361300 1547958
## 70 8.12 96 0.1 2651.717450 43653155
## 71 NA 69 0.3 41.857595 2423488
## 72 NA 91 0.1 NA NA
## 73 1.99 95 0.1 4465.248910 8425823
## 74 5.79 95 0.2 4852.223666 351694
## 75 6.70 96 0.1 185.689750 74432
## 76 4.40 9 0.3 21188.118570 1315372
## 77 9.72 93 0.1 975.498560 5137232
## 78 6.77 87 0.1 1148.229882 558611
## 79 3.73 47 5.8 494.336779 4476153
## 80 4.55 64 2.2 438.751335 179417
## 81 4.53 99 0.1 9739.825560 NA
## 82 5.36 95 0.1 2761.969249 9939678
## 83 2.76 45 10.9 6741.293948 143126
## 84 4.32 99 0.1 12387.189820 16791425
## 85 5.64 94 0.1 NA NA
## 86 6.69 95 8.8 955.648466 1471826
## 87 1.12 84 0.1 24489.735530 842293
## 88 NA 73 0.9 1158.256469 4182341
## 89 6.68 96 0.2 362.951768 656478
## 90 9.55 98 0.1 21618.735340 1457295
## 91 1.60 81 0.1 24517.267450 811566
## 92 7.21 71 3.9 94.729749 783254
## 93 7.25 94 0.1 6586.719290 6261
## 94 NA 95 0.1 2729.863830 263531
## 95 4.72 94 0.7 95.397852 11873557
## 96 3.87 9 0.1 276.133800 811223
## 97 6.66 96 0.1 NA NA
## 98 6.67 95 0.1 4513.136280 76122
## 99 7.48 92 0.1 4916.548860 333465
## 100 3.39 77 2.5 3529.534820 23369131
## 101 6.40 99 0.1 1378.549110 384196
## 102 5.87 71 5.6 418.944540 1412669
## 103 5.10 98 0.1 694.243915 9464495
## 104 4.99 96 0.1 NA NA
## 105 5.34 99 0.2 1377.821400 285624
## 106 7.20 99 0.1 NA NA
## 107 7.67 76 0.2 429.715540 454896
## 108 7.71 9 0.1 21913.781700 NA
## 109 4.97 99 0.1 7318.126410 1247429
## 110 NA 97 0.1 2375.112700 116985
## 111 1.87 84 0.5 1186.423937 555331
## 112 11.60 99 0.1 75.519900 NA
## 113 7.90 95 0.1 11984.868570 397282
## 114 3.10 73 0.2 1855.939150 232989141
## 115 NA 99 0.1 9643.644683 3723155
## 116 5.82 93 0.1 3386.256000 43285634
## 117 3.49 98 0.1 4335.642680 NA
## 118 3.77 75 1.5 NA NA
## 119 9.25 98 0.1 4443.831310 16257
## 120 6.17 86 0.1 1595.912320 NA
## 121 8.86 82 1.5 NA 13866
## 122 6.23 76 9.6 526.531352 249395
## 123 1.29 77 1.9 46.375918 6165372
## 124 5.30 94 0.5 4682.728424 281721
## 125 1.12 64 2.2 358.827472 615417
## 126 4.35 87 2.9 NA NA
## 127 7.33 99 0.1 15669.259290 138188
## 128 3.97 85 6.4 NA NA
## 129 3.64 99 0.1 2722.138900 NA
## 130 3.26 45 11.1 5685.577736 136425
## 131 7.18 99 0.1 16749.136000 53946
## 132 1.61 93 0.1 NA NA
## 133 9.10 97 0.1 11729.146160 1362722
## 134 8.57 92 0.1 3472.379770 21274
## 135 9.50 98 0.1 2277.536130 14162
## 136 6.18 98 0.1 646.561295 2469286
## 137 4.41 83 6.8 1463.213573 138533
## 138 8.32 95 0.1 49231.362540 4586897
## 139 1.63 39 4.9 185.633340 757317
## 140 9.50 99 0.1 4622.415160 5363352
## 141 4.55 93 0.1 2993.832531 2888584
## 142 6.41 42 3.1 174.181547 2991132
## 143 5.91 46 3.1 183.414999 2884522
## 144 5.73 97 37.2 3128.977930 1754935
## 145 4.21 98 0.1 4385.379355 286917
## 146 NA 4 0.9 NA NA
## 147 3.46 97 0.1 39223.581870 NA
## 148 7.10 99 0.1 NA NA
## 149 3.10 92 0.1 21896.652700 NA
## 150 7.13 97 0.1 NA NA
## 151 9.36 96 0.1 22551.735740 1987314
## 152 8.75 91 0.1 4781.388800 323764
## 153 11.79 96 10.5 1352.384330 264166
## 154 7.43 96 0.1 NA NA
## 155 7.10 99 0.1 113751.850000 54336
## 156 5.82 87 0.1 2932.315883 12357
## 157 5.54 93 0.1 7875.756953 941681
## 158 8.78 95 0.1 9415.173860 3362755
## 159 6.14 96 0.1 NA NA
## 160 4.30 97 0.1 1453.917166 473398
## 161 4.47 42 5.2 1136.829645 14641724
## 162 2.61 5 6.8 NA NA
## 163 3.40 99 0.1 2281.124200 NA
## 164 5.90 96 0.2 NA NA
## 165 4.73 7 2.1 61.799977 7982225
## 166 7.15 83 11.7 429.656100 216375
## 167 5.48 95 0.1 2494.353552 31225881
## 168 4.84 99 0.2 NA NA
## 169 3.91 99 0.1 1192.517400 82858
## 170 4.16 99 0.1 4546.738540 873596
## 171 3.80 89 0.1 41.269970 29822
## 172 3.74 96 0.1 29869.853980 NA
## 173 6.94 99 0.1 119172.741800 556319
## 174 3.55 96 0.1 15334.669940 NA
## 175 8.25 97 0.1 1355.745860 4417781
## 176 9.30 98 0.1 5828.621374 362
## 177 8.72 97 0.3 2242.711912 889216
## 178 7.10 23 0.2 314.658296 45271947
## 179 2.13 4 5.3 12732.275900 792217
## 180 7.74 91 0.1 4697.111350 4247841
## 181 5.50 99 0.1 6754.512393 NA
## 182 4.60 93 0.3 3611.214700 28292724
## 183 6.40 97 0.1 9834.472689 119917
## 184 NA 97 0.1 9329.298351 1449687
## 185 NA 26 0.9 NA NA
## 186 6.32 99 0.3 334.838170 683475
## 187 9.14 96 0.1 1152.396810 1289898
## 188 3.70 96 0.7 296.546170 6473164
## 189 6.67 93 0.1 14341.836000 2987773
## 190 3.35 75 0.1 95.432793 16332974
## 191 4.56 72 2.1 583.493514 7754
## 192 9.39 94 0.1 1291.435000 579623
## 193 2.65 99 0.1 4159.865200 NA
## 194 4.77 98 0.1 562.549434 NA
## 195 9.91 93 0.1 37813.234260 718425
## 196 11.20 99 0.1 473.342790 6527512
## 197 3.70 78 3.5 39.484473 19924522
## 198 7.50 72 3.7 965.669378 79628
## 199 8.78 97 0.1 3385.696650 6489822
## 200 3.89 74 1.2 NA NA
## 201 3.66 95 0.1 33579.859480 NA
## 202 8.32 93 0.1 23465.385590 198954
## 203 8.35 95 0.2 1821.878734 191266
## 204 9.56 91 0.1 31979.871950 31995
## 205 7.46 93 0.8 2576.124957 746314
## 206 6.83 99 0.1 NA NA
## 207 7.72 88 3.5 147.586896 8942
## 208 11.14 95 9.0 1281.516000 289928
## 209 NA 98 0.1 1922.413880 587482
## 210 5.43 39 3.1 177.285187 362863
## 211 8.86 9 0.1 52473.113560 327386
## 212 8.91 75 0.1 5424.223560 3863267
## 213 6.90 98 0.1 NA NA
## 214 8.17 94 0.1 962.312164 335824
## 215 3.40 79 0.1 NA 2325443
## 216 5.61 88 0.1 2892.522663 11689
## 217 6.88 95 6.8 111.227396 155456
## 218 11.33 99 0.1 4381.288000 65342776
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 5.7 5.5 0.620
## 2 15.6 16.3 0.584
## 3 7.2 7.2 0.740
## 4 13.7 13.5 0.500
## 5 1.8 1.8 0.620
## 6 5.5 5.3 0.614
## 7 2.5 2.7 0.798
## 8 16.6 17.3 0.000
## 9 6.0 5.9 0.690
## 10 1.0 9.7 0.646
## 11 0.7 0.5 NA
## 12 5.9 6.3 0.728
## 13 2.6 2.8 0.735
## 14 0.8 0.6 NA
## 15 7.2 7.3 0.761
## 16 0.8 0.7 NA
## 17 9.1 9.3 0.666
## 18 6.5 6.4 0.722
## 19 3.6 3.4 0.686
## 20 15.3 15.3 0.746
## 21 0.9 0.8 0.878
## 22 3.4 3.4 0.685
## 23 3.9 3.3 0.703
## 24 4.9 5.9 0.660
## 25 2.0 2.0 0.775
## 26 2.2 2.2 0.814
## 27 8.4 8.4 0.376
## 28 3.4 3.4 0.000
## 29 1.7 1.6 0.803
## 30 5.2 5.2 NA
## 31 1.5 1.4 0.439
## 32 5.5 5.3 0.565
## 33 4.7 4.6 0.000
## 34 5.1 5.2 NA
## 35 3.5 3.4 0.000
## 36 5.9 5.9 0.485
## 37 2.7 21.1 0.513
## 38 6.7 6.6 0.518
## 39 1.7 1.7 0.775
## 40 1.3 1.3 0.453
## 41 1.3 1.2 0.702
## 42 2.1 2.2 0.755
## 43 5.1 5.2 0.526
## 44 2.8 3.0 NA
## 45 3.4 3.3 0.796
## 46 8.8 8.5 0.396
## 47 7.5 7.8 0.704
## 48 0.8 0.8 0.861
## 49 0.2 0.2 0.677
## 50 3.6 3.7 0.625
## 51 7.5 7.5 NA
## 52 8.0 7.8 0.536
## 53 2.0 1.9 0.692
## 54 1.8 1.7 0.435
## 55 6.8 6.7 0.643
## 56 5.6 5.3 0.607
## 57 1.5 1.4 0.592
## 58 2.9 2.9 0.000
## 59 7.7 7.6 0.441
## 60 7.9 7.7 0.541
## 61 16.3 19.1 0.635
## 62 7.1 7.1 NA
## 63 2.7 21.3 0.468
## 64 7.3 7.2 0.459
## 65 4.8 4.9 0.534
## 66 0.3 0.3 0.873
## 67 5.8 5.8 0.488
## 68 9.5 9.5 0.587
## 69 0.8 0.8 0.865
## 70 0.6 0.5 0.837
## 71 7.1 7.1 0.511
## 72 2.1 2.1 0.746
## 73 1.1 1.1 0.916
## 74 3.4 3.4 0.705
## 75 5.0 4.8 0.705
## 76 6.1 6.4 0.767
## 77 0.8 0.7 0.945
## 78 2.4 2.3 0.632
## 79 8.8 8.8 0.361
## 80 8.2 8.2 0.380
## 81 3.5 3.5 0.000
## 82 6.4 6.3 0.667
## 83 7.2 7.1 0.640
## 84 2.4 2.5 0.774
## 85 2.8 2.8 0.686
## 86 6.5 6.4 0.464
## 87 1.7 1.9 0.837
## 88 7.8 7.5 0.513
## 89 1.8 1.7 0.651
## 90 0.7 0.5 0.827
## 91 1.7 1.9 0.833
## 92 5.9 5.8 0.396
## 93 1.9 1.9 0.797
## 94 1.4 1.3 0.888
## 95 11.0 1.9 0.425
## 96 4.3 4.0 0.681
## 97 3.2 3.3 0.631
## 98 2.2 2.2 0.750
## 99 2.1 2.1 0.740
## 100 9.1 9.0 0.488
## 101 2.0 2.1 0.838
## 102 8.9 8.8 0.388
## 103 2.0 2.1 0.793
## 104 3.5 3.5 0.712
## 105 3.0 3.1 0.657
## 106 1.5 1.0 NA
## 107 2.3 2.4 0.744
## 108 0.3 0.3 0.881
## 109 7.3 7.3 0.734
## 110 1.0 1.0 0.854
## 111 13.0 13.3 0.526
## 112 3.4 3.3 0.772
## 113 2.8 2.8 0.824
## 114 1.8 1.7 0.638
## 115 7.5 7.3 0.787
## 116 2.4 2.1 0.658
## 117 5.2 5.0 0.829
## 118 1.0 9.8 NA
## 119 0.8 0.8 0.871
## 120 3.8 3.8 0.781
## 121 8.0 8.1 0.488
## 122 3.7 3.6 0.397
## 123 8.7 8.7 0.367
## 124 1.8 1.7 0.721
## 125 8.9 8.9 0.357
## 126 9.4 9.3 0.404
## 127 1.9 1.9 0.812
## 128 7.2 7.2 NA
## 129 6.0 5.9 0.810
## 130 7.4 7.2 0.640
## 131 0.9 0.9 0.892
## 132 2.8 3.0 NA
## 133 0.8 0.6 0.782
## 134 0.7 0.6 0.908
## 135 0.7 0.5 0.837
## 136 2.4 2.5 0.609
## 137 6.7 6.5 0.533
## 138 0.3 0.2 0.895
## 139 9.8 9.8 0.563
## 140 0.9 0.8 0.874
## 141 2.0 2.1 0.725
## 142 9.0 9.0 0.386
## 143 9.2 9.2 0.338
## 144 11.8 11.8 0.560
## 145 2.2 2.3 0.720
## 146 7.3 7.1 NA
## 147 2.1 2.0 0.873
## 148 1.5 1.0 NA
## 149 6.5 6.0 0.828
## 150 2.2 2.2 NA
## 151 0.8 0.7 0.839
## 152 1.0 0.9 0.907
## 153 6.8 6.6 0.469
## 154 2.5 2.5 0.791
## 155 0.9 0.9 0.892
## 156 0.1 0.1 0.698
## 157 2.8 2.8 0.745
## 158 1.5 1.5 0.774
## 159 3.7 3.6 0.749
## 160 3.4 3.4 0.000
## 161 12.3 12.3 0.477
## 162 9.1 8.8 0.492
## 163 6.1 6.0 0.812
## 164 15.4 16.1 0.601
## 165 8.7 8.6 0.430
## 166 11.5 11.4 0.589
## 167 6.4 6.3 0.581
## 168 15.6 16.2 0.592
## 169 6.0 6.4 0.712
## 170 4.0 3.7 0.714
## 171 2.0 2.1 0.721
## 172 2.1 2.0 0.821
## 173 1.0 0.9 0.892
## 174 7.2 7.3 0.767
## 175 1.6 1.6 0.803
## 176 14.2 14.3 0.641
## 177 2.1 2.1 0.618
## 178 2.3 2.4 0.746
## 179 9.7 9.6 0.569
## 180 2.0 2.0 0.723
## 181 3.9 4.0 0.000
## 182 1.2 1.2 0.696
## 183 1.6 1.6 0.745
## 184 2.3 2.3 0.805
## 185 7.4 7.2 NA
## 186 1.8 1.7 0.657
## 187 0.8 0.6 0.777
## 188 9.2 9.5 0.657
## 189 2.7 2.7 0.830
## 190 2.8 21.3 0.505
## 191 8.9 8.8 0.423
## 192 0.8 0.7 0.942
## 193 5.7 5.2 0.863
## 194 5.6 5.4 0.756
## 195 0.7 0.5 0.879
## 196 0.6 0.6 0.879
## 197 8.8 8.8 0.484
## 198 5.8 5.7 0.405
## 199 3.8 3.8 0.739
## 200 9.9 9.6 NA
## 201 2.1 2.0 0.839
## 202 0.7 0.7 0.905
## 203 5.6 5.4 0.562
## 204 0.5 0.4 0.881
## 205 5.6 5.4 0.618
## 206 1.5 1.0 NA
## 207 5.8 5.7 0.416
## 208 6.4 6.2 0.479
## 209 1.1 1.2 0.514
## 210 8.8 8.9 0.376
## 211 1.0 0.9 0.915
## 212 4.7 4.6 0.000
## 213 2.1 2.2 NA
## 214 1.6 1.5 0.770
## 215 6.4 6.2 0.651
## 216 0.1 0.1 0.695
## 217 6.2 6.0 0.488
## 218 0.6 0.6 0.882
## Schooling
## 1 11.2
## 2 10.7
## 3 14.0
## 4 9.0
## 5 11.5
## 6 9.1
## 7 14.7
## 8 11.4
## 9 12.3
## 10 11.5
## 11 NA
## 12 13.1
## 13 13.1
## 14 NA
## 15 12.4
## 16 NA
## 17 11.8
## 18 14.7
## 19 12.3
## 20 13.6
## 21 16.9
## 22 12.7
## 23 12.4
## 24 13.0
## 25 14.4
## 26 15.4
## 27 8.1
## 28 10.3
## 29 14.2
## 30 NA
## 31 7.6
## 32 11.2
## 33 13.7
## 34 NA
## 35 0.0
## 36 10.8
## 37 7.3
## 38 11.6
## 39 14.2
## 40 8.0
## 41 13.1
## 42 13.5
## 43 11.2
## 44 NA
## 45 13.1
## 46 7.3
## 47 11.8
## 48 15.7
## 49 12.7
## 50 11.3
## 51 NA
## 52 11.1
## 53 12.3
## 54 7.1
## 55 13.5
## 56 8.7
## 57 10.8
## 58 12.5
## 59 10.1
## 60 11.1
## 61 13.0
## 62 NA
## 63 7.5
## 64 10.0
## 65 11.3
## 66 17.5
## 67 10.8
## 68 9.0
## 69 15.7
## 70 15.8
## 71 10.3
## 72 12.9
## 73 16.9
## 74 12.8
## 75 12.5
## 76 12.4
## 77 17.7
## 78 12.2
## 79 6.8
## 80 8.3
## 81 0.0
## 82 13.5
## 83 12.4
## 84 14.7
## 85 13.1
## 86 9.8
## 87 15.5
## 88 8.5
## 89 12.9
## 90 16.3
## 91 15.4
## 92 4.0
## 93 15.1
## 94 17.3
## 95 6.8
## 96 13.1
## 97 12.2
## 98 13.5
## 99 12.9
## 100 9.0
## 101 15.4
## 102 8.3
## 103 15.6
## 104 13.3
## 105 11.9
## 106 NA
## 107 15.2
## 108 18.2
## 109 13.8
## 110 14.3
## 111 9.1
## 112 14.0
## 113 16.8
## 114 11.0
## 115 13.1
## 116 11.1
## 117 13.3
## 118 NA
## 119 15.8
## 120 15.8
## 121 9.3
## 122 9.5
## 123 8.3
## 124 12.7
## 125 8.2
## 126 7.6
## 127 15.3
## 128 NA
## 129 14.4
## 130 12.3
## 131 13.9
## 132 NA
## 133 15.7
## 134 20.7
## 135 16.8
## 136 10.5
## 137 11.8
## 138 18.5
## 139 8.7
## 140 16.8
## 141 11.9
## 142 10.5
## 143 8.7
## 144 11.8
## 145 14.7
## 146 NA
## 147 14.1
## 148 NA
## 149 13.7
## 150 NA
## 151 15.6
## 152 19.0
## 153 11.0
## 154 12.6
## 155 13.9
## 156 14.5
## 157 11.9
## 158 15.5
## 159 13.4
## 160 10.3
## 161 9.1
## 162 9.4
## 163 14.4
## 164 11.0
## 165 8.5
## 166 11.3
## 167 10.0
## 168 10.9
## 169 12.1
## 170 14.9
## 171 12.3
## 172 12.6
## 173 13.9
## 174 12.5
## 175 14.2
## 176 11.8
## 177 11.4
## 178 15.2
## 179 9.0
## 180 12.4
## 181 14.9
## 182 13.2
## 183 12.6
## 184 15.0
## 185 NA
## 186 12.9
## 187 15.5
## 188 11.5
## 189 16.5
## 190 6.7
## 191 8.1
## 192 17.5
## 193 15.0
## 194 14.0
## 195 15.1
## 196 16.0
## 197 7.6
## 198 4.3
## 199 13.6
## 200 NA
## 201 13.9
## 202 20.6
## 203 11.1
## 204 15.8
## 205 10.7
## 206 NA
## 207 4.5
## 208 11.0
## 209 9.6
## 210 10.4
## 211 19.0
## 212 14.2
## 213 NA
## 214 15.7
## 215 11.6
## 216 14.6
## 217 10.4
## 218 16.1train %>% filter(Country == "Antigua and Barbuda")## Country Year Status Life.expectancy Adult.Mortality
## 1 Antigua and Barbuda 2004 Developing 74.4 149
## 2 Antigua and Barbuda 2001 Developing 73.8 154
## 3 Antigua and Barbuda 2009 Developing 75.4 14
## 4 Antigua and Barbuda 2013 Developing 76.1 133
## 5 Antigua and Barbuda 2003 Developing 74.2 151
## 6 Antigua and Barbuda 2011 Developing 75.7 136
## 7 Antigua and Barbuda 2007 Developing 75.0 144
## 8 Antigua and Barbuda 2000 Developing 73.6 156
## 9 Antigua and Barbuda 2010 Developing 75.6 138
## 10 Antigua and Barbuda 2005 Developing 74.6 147
## 11 Antigua and Barbuda 2012 Developing 75.9 134
## 12 Antigua and Barbuda 2008 Developing 75.2 142
## 13 Antigua and Barbuda 2006 Developing 74.8 145
## 14 Antigua and Barbuda 2015 Developing 76.4 13
## infant.deaths Alcohol percentage.expenditure Hepatitis.B Measles BMI
## 1 0 7.28 22.86295 97 0 4.8
## 2 0 7.51 163.76770 96 0 38.9
## 3 0 7.82 149.35874 98 0 43.8
## 4 0 8.58 1991.43037 99 0 46.4
## 5 0 7.16 1158.06526 99 0 4.1
## 6 0 7.84 1810.87532 99 0 45.1
## 7 0 8.64 257.96653 97 0 42.6
## 8 0 7.27 1127.74347 NA 0 38.2
## 9 0 7.84 1983.95694 98 0 44.4
## 10 0 8.15 1455.60819 99 0 41.4
## 11 0 8.18 2156.22984 98 0 45.7
## 12 0 8.27 180.77627 98 0 43.2
## 13 0 8.93 216.31469 99 0 42.0
## 14 0 NA 0.00000 99 0 47.7
## under.five.deaths Polio Total.expenditure Diphtheria HIV.AIDS GDP
## 1 0 97 4.21 97 0.1 1352.837
## 2 0 99 4.48 97 0.1 9358.154
## 3 0 98 4.86 99 0.1 1312.467
## 4 0 98 5.33 99 0.2 12224.864
## 5 0 99 4.53 99 0.1 9739.826
## 6 0 99 5.65 99 0.1 11929.350
## 7 0 98 4.27 99 0.1 14252.295
## 8 0 96 4.13 95 0.1 9875.162
## 9 0 99 5.63 98 0.1 12126.876
## 10 0 98 4.41 99 0.1 11371.939
## 11 0 97 5.39 98 0.2 12565.442
## 12 0 99 4.69 99 0.1 1473.319
## 13 0 99 4.34 99 0.1 12724.394
## 14 0 86 NA 99 0.2 13566.954
## Population thinness..1.19.years thinness.5.9.years
## 1 NA 3.5 3.4
## 2 NA 3.6 3.5
## 3 NA 3.4 3.3
## 4 NA 3.3 3.3
## 5 NA 3.5 3.5
## 6 NA 3.3 3.3
## 7 NA 3.4 3.3
## 8 NA 3.7 3.6
## 9 NA 3.3 3.3
## 10 NA 3.5 3.4
## 11 NA 3.3 3.3
## 12 NA 3.4 3.3
## 13 NA 3.4 3.4
## 14 NA 3.3 3.3
## Income.composition.of.resources Schooling
## 1 0.000 0.0
## 2 0.000 0.0
## 3 0.788 14.2
## 4 0.781 13.9
## 5 0.000 0.0
## 6 0.782 14.1
## 7 0.781 14.5
## 8 0.000 0.0
## 9 0.783 14.1
## 10 0.000 0.0
## 11 0.778 13.8
## 12 0.786 14.4
## 13 0.773 14.7
## 14 0.784 13.9train %>% filter(Country == "Zimbabwe")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Zimbabwe 2005 Developing 44.6 717 28
## 2 Zimbabwe 2004 Developing 44.3 723 27
## 3 Zimbabwe 2000 Developing 46.0 665 24
## 4 Zimbabwe 2010 Developing 52.4 527 29
## 5 Zimbabwe 2001 Developing 45.3 686 25
## 6 Zimbabwe 2008 Developing 48.2 632 30
## 7 Zimbabwe 2012 Developing 56.6 429 26
## 8 Zimbabwe 2007 Developing 46.6 67 29
## 9 Zimbabwe 2011 Developing 54.9 464 28
## 10 Zimbabwe 2003 Developing 44.5 715 26
## 11 Zimbabwe 2006 Developing 45.4 7 28
## 12 Zimbabwe 2015 Developing 67.0 336 22
## 13 Zimbabwe 2013 Developing 58.0 399 25
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 4.14 8.717409 65 420 27.5 43
## 2 4.36 0.000000 68 31 27.1 42
## 3 1.68 0.000000 79 1483 25.5 39
## 4 5.21 53.308581 9 9696 29.4 44
## 5 1.72 0.000000 76 529 25.9 39
## 6 3.56 20.843429 75 0 28.6 46
## 7 6.09 92.602336 97 0 3.3 39
## 8 3.88 29.814566 72 242 28.2 46
## 9 6.00 63.750530 94 0 29.9 42
## 10 4.06 0.000000 7 998 26.7 41
## 11 4.57 34.262169 68 212 27.9 45
## 12 NA 0.000000 87 0 31.8 32
## 13 6.39 10.666707 95 0 3.8 36
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 69 6.44 68 30.3 444.7658 129432
## 2 67 7.13 65 33.6 454.3667 12777511
## 3 78 7.10 78 43.5 547.3589 12222251
## 4 89 5.37 89 15.7 713.6356 1486317
## 5 76 6.16 75 42.1 548.5873 12366165
## 6 75 4.96 75 20.5 325.6786 13558469
## 7 95 6.69 95 8.8 955.6485 1471826
## 8 73 4.47 73 23.7 396.9982 1332999
## 9 93 6.31 93 13.3 839.9279 14386649
## 10 7 6.52 68 36.7 453.3512 12633897
## 11 71 5.12 7 26.8 414.7962 13124267
## 12 88 NA 87 6.2 118.6938 15777451
## 13 95 6.88 95 6.8 111.2274 155456
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 9.0 9.0 0.406
## 2 9.4 9.4 0.407
## 3 11.0 11.2 0.434
## 4 7.1 7.0 0.436
## 5 1.6 1.7 0.427
## 6 7.8 7.8 0.421
## 7 6.5 6.4 0.464
## 8 8.2 8.2 0.414
## 9 6.8 6.7 0.452
## 10 9.8 9.9 0.418
## 11 8.6 8.6 0.408
## 12 5.6 5.5 0.507
## 13 6.2 6.0 0.488
## Schooling
## 1 9.3
## 2 9.2
## 3 9.8
## 4 10.0
## 5 9.8
## 6 9.7
## 7 9.8
## 8 9.6
## 9 10.1
## 10 9.5
## 11 9.5
## 12 10.3
## 13 10.4train %>% filter(Country == "Portugal")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Portugal 2012 Developed 83.0 81 0
## 2 Portugal 2004 Developed 78.0 99 0
## 3 Portugal 2015 Developed 81.1 76 0
## 4 Portugal 2006 Developed 78.5 96 0
## 5 Portugal 2013 Developed 86.0 79 0
## 6 Portugal 2010 Developed 79.6 88 0
## 7 Portugal 2007 Developed 78.7 94 0
## 8 Portugal 2008 Developed 79.0 92 0
## 9 Portugal 2005 Developed 77.7 11 0
## 10 Portugal 2001 Developed 76.9 11 1
## 11 Portugal 2014 Developed 89.0 78 0
## 12 Portugal 2003 Developed 77.3 15 0
## 13 Portugal 2000 Developed 76.6 11 1
## 14 Portugal 2011 Developed 82.0 85 0
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 11.96 331.4570 98 23 59.5 0
## 2 13.45 276.1000 94 5 53.3 1
## 3 NA 0.0000 98 8 61.6 0
## 4 13.11 2884.0202 97 0 54.9 0
## 5 10.00 2698.0182 98 1 6.2 0
## 6 12.25 3119.3498 97 5 58.1 0
## 7 12.57 333.3569 97 0 55.7 0
## 8 12.35 3652.8693 97 1 56.5 0
## 9 13.33 2813.9853 94 7 54.1 1
## 10 12.22 1657.3284 7 0 5.9 1
## 11 9.88 271.2546 98 0 6.9 0
## 12 14.21 2283.8918 94 8 52.5 1
## 13 11.89 167.3280 58 45 5.1 1
## 14 11.92 3108.2886 97 2 58.8 0
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 98 9.74 98 0.1 2577.426 1514844
## 2 95 9.84 95 0.1 1845.588 1483861
## 3 98 NA 98 0.1 1922.681 135876
## 4 97 9.67 97 0.1 19821.445 1522288
## 5 98 9.55 98 0.1 21618.735 1457295
## 6 97 1.44 98 0.1 22538.655 15731
## 7 96 9.62 97 0.1 2278.584 1542964
## 8 97 9.90 97 0.1 24815.688 1558177
## 9 93 9.98 93 0.1 18784.948 15333
## 10 96 9.10 97 0.1 11729.146 1362722
## 11 98 9.50 98 0.1 2277.536 14162
## 12 96 9.54 99 0.1 15772.733 1458821
## 13 96 9.14 96 0.1 1152.397 1289898
## 14 97 1.70 97 0.1 23196.184 155756
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 0.7 0.5 0.824
## 2 0.7 0.6 0.792
## 3 0.7 0.5 0.841
## 4 0.7 0.5 0.793
## 5 0.7 0.5 0.827
## 6 0.7 0.5 0.812
## 7 0.7 0.5 0.797
## 8 0.7 0.5 0.804
## 9 0.7 0.6 0.790
## 10 0.8 0.6 0.782
## 11 0.7 0.5 0.837
## 12 0.7 0.6 0.789
## 13 0.8 0.6 0.777
## 14 0.7 0.5 0.818
## Schooling
## 1 16.3
## 2 15.9
## 3 16.6
## 4 15.4
## 5 16.3
## 6 16.0
## 7 15.4
## 8 15.8
## 9 15.4
## 10 15.7
## 11 16.8
## 12 15.8
## 13 15.5
## 14 16.2train %>% filter(Country == "Ireland")## Country Year Status Life.expectancy Adult.Mortality infant.deaths Alcohol
## 1 Ireland 2013 Developed 81.0 67 0 10.49
## 2 Ireland 2004 Developed 78.3 82 0 13.32
## 3 Ireland 2008 Developed 79.8 75 0 12.66
## 4 Ireland 2005 Developed 78.7 78 0 13.31
## 5 Ireland 2002 Developed 77.4 88 0 14.17
## 6 Ireland 2010 Developed 86.0 68 0 11.88
## 7 Ireland 2015 Developed 81.4 64 0 NA
## 8 Ireland 2001 Developed 77.0 89 0 14.27
## 9 Ireland 2006 Developed 79.0 78 0 13.44
## 10 Ireland 2012 Developed 85.0 69 0 11.49
## 11 Ireland 2003 Developed 78.0 82 0 13.24
## 12 Ireland 2009 Developed 79.7 77 0 11.41
## 13 Ireland 2014 Developed 81.2 66 0 10.75
## 14 Ireland 2011 Developed 84.0 7 0 11.72
## percentage.expenditure Hepatitis.B Measles BMI under.five.deaths Polio
## 1 703.5527 95 51 61.3 0 96
## 2 8040.2204 NA 334 54.4 0 89
## 3 9528.2306 NA 57 57.4 0 93
## 4 973.6813 NA 95 55.1 0 9
## 5 5092.3838 NA 243 52.9 0 83
## 6 4509.2348 46 443 58.9 0 94
## 7 0.0000 95 4 62.8 0 95
## 8 4264.5792 NA 241 52.2 0 84
## 9 9126.9312 NA 87 55.8 0 91
## 10 6616.6951 95 107 6.5 0 95
## 11 675.2135 NA 584 53.6 0 86
## 12 7620.8235 NA 164 58.2 0 94
## 13 746.3670 95 33 62.1 0 96
## 14 6386.9544 95 285 59.7 0 95
## Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 8.10 96 0.1 5234.767 4598294
## 2 7.34 89 0.1 47631.638 47262
## 3 8.64 93 0.1 61235.415 4489544
## 4 7.27 9 0.1 5886.828 4159914
## 5 6.85 83 0.1 32539.194 3931947
## 6 8.76 94 0.1 48538.588 456155
## 7 NA 95 0.1 6664.144 4676835
## 8 6.60 84 0.1 28223.555 3866243
## 9 7.22 91 0.1 54326.971 4273591
## 10 8.32 95 0.1 49231.363 4586897
## 11 7.50 86 0.1 4117.155 3996521
## 12 9.53 94 0.1 51983.789 4535375
## 13 7.78 96 0.1 5553.326 4617225
## 14 8.15 95 0.1 52567.526 4576794
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 0.3 0.2 0.902
## 2 0.3 0.2 0.880
## 3 0.3 0.2 0.908
## 4 0.3 0.2 0.889
## 5 0.3 0.3 0.862
## 6 0.3 0.2 0.907
## 7 0.3 0.2 0.920
## 8 0.3 0.3 0.857
## 9 0.3 0.2 0.896
## 10 0.3 0.2 0.895
## 11 0.3 0.2 0.870
## 12 0.3 0.2 0.909
## 13 0.3 0.2 0.910
## 14 0.3 0.2 0.909
## Schooling
## 1 18.6
## 2 17.1
## 3 17.9
## 4 17.5
## 5 16.5
## 6 18.2
## 7 18.6
## 8 16.4
## 9 17.6
## 10 18.5
## 11 16.8
## 12 17.9
## 13 18.6
## 14 18.5train %>% filter(Country == "Equatorial Guinea")## Country Year Status Life.expectancy Adult.Mortality
## 1 Equatorial Guinea 2003 Developing 53.8 334
## 2 Equatorial Guinea 2002 Developing 53.5 334
## 3 Equatorial Guinea 2011 Developing 56.2 344
## 4 Equatorial Guinea 2014 Developing 57.9 32
## 5 Equatorial Guinea 2007 Developing 55.0 339
## 6 Equatorial Guinea 2015 Developing 58.2 32
## 7 Equatorial Guinea 2004 Developing 54.1 336
## 8 Equatorial Guinea 2012 Developing 56.7 337
## 9 Equatorial Guinea 2013 Developing 57.4 327
## 10 Equatorial Guinea 2005 Developing 54.4 337
## 11 Equatorial Guinea 2009 Developing 55.7 34
## 12 Equatorial Guinea 2000 Developing 52.7 336
## 13 Equatorial Guinea 2008 Developing 55.4 338
## 14 Equatorial Guinea 2010 Developing 56.1 339
## 15 Equatorial Guinea 2006 Developing 54.8 337
## 16 Equatorial Guinea 2001 Developing 53.1 334
## infant.deaths Alcohol percentage.expenditure Hepatitis.B Measles BMI
## 1 3 7.13 309.78346 NA 18 19.5
## 2 3 6.01 234.78742 NA 24 19.1
## 3 3 10.99 1493.05128 NA 0 22.6
## 4 3 0.01 13.40477 2 13 24.0
## 5 3 6.86 1024.51954 NA 5 2.9
## 6 3 NA 0.00000 16 1250 24.5
## 7 3 6.28 44.54768 NA 38 19.8
## 8 3 11.89 1500.41263 NA 1190 23.0
## 9 3 10.72 156.39077 NA 321 23.5
## 10 3 7.19 12.06617 NA 0 2.2
## 11 3 7.97 115.06924 NA 78 21.7
## 12 3 4.46 14.95451 NA 0 18.3
## 13 3 8.34 1705.67862 NA 436 21.3
## 14 3 9.93 1192.69662 NA 0 22.1
## 15 3 7.28 827.59793 NA 0 2.5
## 16 3 5.07 197.78396 NA 1339 18.7
## under.five.deaths Polio Total.expenditure Diphtheria HIV.AIDS GDP
## 1 4 46 2.23 37 3.6 3577.1762
## 2 4 44 2.50 36 2.9 2711.1711
## 3 4 39 3.29 41 7.7 21451.8862
## 4 4 24 3.80 2 4.4 192.5973
## 5 4 54 2.25 41 5.9 15761.8391
## 6 4 17 NA 16 4.2 1347.3126
## 7 4 48 2.40 38 4.4 685.3490
## 8 4 3 4.00 24 8.2 21557.6528
## 9 4 3 3.73 3 5.7 2246.9938
## 10 4 5 1.63 39 4.9 185.6333
## 11 4 57 5.32 43 7.3 1653.2937
## 12 4 41 2.73 34 1.9 172.6849
## 13 4 55 2.31 42 6.3 22742.3816
## 14 4 59 3.84 44 7.2 17136.4457
## 15 4 52 2.13 4 5.3 12732.2759
## 16 4 43 1.78 35 2.3 2283.8794
## Population thinness..1.19.years thinness.5.9.years
## 1 694611 1.2 1.1
## 2 66647 1.4 1.3
## 3 99429 8.9 8.8
## 4 1129424 8.5 8.4
## 5 829327 9.5 9.5
## 6 1175389 8.4 8.3
## 7 724817 1.0 1.0
## 8 138593 8.7 8.7
## 9 183746 8.6 8.6
## 10 757317 9.8 9.8
## 11 99111 9.2 9.2
## 12 614323 1.7 1.6
## 13 868418 9.3 9.3
## 14 95114 9.0 9.0
## 15 792217 9.7 9.6
## 16 639762 1.6 1.4
## Income.composition.of.resources Schooling
## 1 0.554 8.4
## 2 0.542 8.2
## 3 0.580 9.2
## 4 0.582 9.2
## 5 0.587 9.0
## 6 0.582 9.2
## 7 0.553 8.5
## 8 0.583 9.2
## 9 0.586 9.2
## 10 0.563 8.7
## 11 0.590 9.1
## 12 0.000 0.0
## 13 0.592 9.1
## 14 0.589 9.2
## 15 0.569 9.0
## 16 0.527 8.0Similar to the Adult.Mortality, there appears to be a reporting error. For example, Equatorial Guinea lists BMI around 19-23, and then has a couple 2.9 and 2.5. If you multiple the abnormally low numbers time 10, however, the adjusted numbers would be higher than all the rest. This holds true for the other four countries tested as well.
Next, let’s examine Polio for errors:
train %>% filter(Polio < 18)## Country Year Status Life.expectancy
## 1 Sudan 2010 Developing 62.5
## 2 Kiribati 2015 Developing 66.3
## 3 Syrian Arab Republic 2015 Developing 64.5
## 4 Lesotho 2003 Developing 45.5
## 5 Congo 2014 Developing 64.2
## 6 Tuvalu 2013 Developing NA
## 7 Bosnia and Herzegovina 2010 Developing 76.4
## 8 Georgia 2008 Developing 73.9
## 9 Mali 2004 Developing 52.8
## 10 United States of America 2000 Developed 76.8
## 11 Madagascar 2001 Developing 58.7
## 12 Benin 2009 Developing 58.4
## 13 Guinea 2009 Developing 57.3
## 14 Nepal 2015 Developing 69.2
## 15 Comoros 2003 Developing 59.6
## 16 Ireland 2005 Developed 78.7
## 17 Ghana 2003 Developing 57.9
## 18 Panama 2014 Developing 77.6
## 19 Pakistan 2008 Developing 64.6
## 20 Eritrea 2010 Developing 62.1
## 21 Indonesia 2014 Developing 68.9
## 22 Suriname 2000 Developing 67.4
## 23 Angola 2015 Developing 52.4
## 24 Rwanda 2000 Developing 48.3
## 25 Gabon 2012 Developing 63.5
## 26 Lao People's Democratic Republic 2005 Developing 61.0
## 27 Myanmar 2009 Developing 65.2
## 28 South Africa 2003 Developing 54.0
## 29 Iraq 2001 Developing 72.0
## 30 Madagascar 2005 Developing 69.0
## 31 Denmark 2010 Developed 79.2
## 32 Togo 2008 Developing 56.2
## 33 Somalia 2002 Developing 58.0
## 34 Paraguay 2013 Developing 73.8
## 35 Mali 2013 Developing 57.3
## 36 Sudan 2002 Developing 59.4
## 37 Kiribati 2000 Developing 64.1
## 38 South Africa 2002 Developing 54.9
## 39 Guatemala 2006 Developing 69.7
## 40 Lesotho 2015 Developing 53.7
## 41 Solomon Islands 2005 Developing 67.4
## 42 Mauritania 2012 Developing 62.5
## 43 Chad 2000 Developing 47.6
## 44 Liberia 2012 Developing 67.0
## 45 Madagascar 2010 Developing 63.3
## 46 Bosnia and Herzegovina 2009 Developing 76.1
## 47 Syrian Arab Republic 2011 Developing 71.7
## 48 Tonga 2005 Developing 72.3
## 49 Ethiopia 2011 Developing 62.6
## 50 Lebanon 2001 Developing 73.0
## 51 Turkey 2006 Developing 72.8
## 52 Ecuador 2004 Developing 74.4
## 53 Kenya 2005 Developing 54.1
## 54 Afghanistan 2015 Developing 65.0
## 55 Barbados 2003 Developing 73.7
## 56 Lesotho 2013 Developing 52.1
## 57 Peru 2001 Developing 72.4
## 58 Trinidad and Tobago 2000 Developing 69.1
## 59 Indonesia 2015 Developing 69.1
## 60 Equatorial Guinea 2015 Developing 58.2
## 61 Burkina Faso 2010 Developing 57.5
## 62 El Salvador 2011 Developing 72.0
## 63 Somalia 2003 Developing 51.1
## 64 Kenya 2010 Developing 63.0
## 65 Paraguay 2001 Developing 71.2
## 66 Chad 2011 Developing 51.6
## 67 El Salvador 2004 Developing 70.0
## 68 Azerbaijan 2006 Developing 69.2
## 69 Afghanistan 2004 Developing 57.0
## 70 Myanmar 2011 Developing 65.6
## 71 Angola 2004 Developing 47.1
## 72 Comoros 2000 Developing 59.5
## 73 Turkey 2005 Developing 72.4
## 74 Dominican Republic 2014 Developing 73.6
## 75 Togo 2005 Developing 55.0
## 76 Benin 2012 Developing 59.3
## 77 Burkina Faso 2011 Developing 58.1
## 78 Chile 2012 Developing 79.9
## 79 Syrian Arab Republic 2013 Developing 63.6
## 80 Barbados 2010 Developing 74.7
## 81 Cambodia 2006 Developing 64.1
## 82 Canada 2007 Developing 85.0
## 83 Greece 2001 Developing 78.7
## 84 Comoros 2001 Developing 59.5
## 85 Indonesia 2003 Developing 66.9
## 86 Equatorial Guinea 2012 Developing 56.7
## 87 Saint Lucia 2002 Developing 72.0
## 88 Sao Tome and Principe 2001 Developing 62.8
## 89 Equatorial Guinea 2013 Developing 57.4
## 90 Zambia 2008 Developing 55.7
## 91 Trinidad and Tobago 2007 Developing 69.7
## 92 Democratic Republic of the Congo 2001 Developing 51.8
## 93 Republic of Korea 2004 Developing 78.2
## 94 Ethiopia 2012 Developing 63.3
## 95 Zambia 2010 Developing 58.0
## 96 Equatorial Guinea 2005 Developing 54.4
## 97 Cabo Verde 2000 Developing 69.9
## 98 Somalia 2007 Developing 51.5
## 99 Democratic Republic of the Congo 2005 Developing 54.3
## 100 United Republic of Tanzania 2012 Developing 58.6
## 101 Congo 2003 Developing 53.2
## 102 Mauritania 2013 Developing 62.7
## 103 Namibia 2000 Developing 57.4
## 104 Angola 2000 Developing 45.3
## 105 Bhutan 2004 Developing 64.2
## 106 Uganda 2007 Developing 55.5
## 107 Angola 2003 Developing 46.8
## 108 Venezuela (Bolivarian Republic of) 2005 Developing 73.6
## 109 Myanmar 2010 Developing 65.4
## 110 Costa Rica 2012 Developing 79.2
## 111 South Sudan 2013 Developing 56.4
## 112 Zimbabwe 2003 Developing 44.5
## 113 Australia 2000 Developed 79.5
## 114 United States of America 2002 Developed 77.0
## 115 Papua New Guinea 2013 Developing 62.4
## 116 Trinidad and Tobago 2009 Developing 71.0
## 117 Ghana 2002 Developing 57.6
## 118 Nepal 2004 Developing 64.7
## 119 Democratic Republic of the Congo 2002 Developing 52.1
## 120 Nigeria 2008 Developing 59.0
## 121 Haiti 2005 Developing 65.0
## 122 Somalia 2004 Developing 51.2
## 123 Nepal 2012 Developing 68.9
## 124 Niger 2011 Developing 59.4
## 125 Kenya 2000 Developing 51.9
## 126 Iceland 2014 Developed 82.5
## 127 Haiti 2000 Developing 58.6
## 128 Samoa 2011 Developing 73.0
## 129 Cameroon 2011 Developing 55.6
## 130 Ecuador 2001 Developing 73.4
## Adult.Mortality infant.deaths Alcohol percentage.expenditure Hepatitis.B
## 1 243 62 1.77 172.0097884 75
## 2 198 0 NA 0.0000000 82
## 3 293 6 NA 0.0000000 41
## 4 648 5 1.99 5.3009020 17
## 5 275 7 0.01 0.0000000 9
## 6 NA 0 0.01 78.2812032 9
## 7 94 0 4.54 630.3883564 89
## 8 128 1 7.17 151.7625670 89
## 9 296 58 0.49 57.1164480 73
## 10 114 28 8.21 0.0000000 9
## 11 276 42 1.05 42.5633159 NA
## 12 259 25 1.16 71.0139925 79
## 13 297 29 0.18 24.8476356 57
## 14 165 17 NA 0.0000000 91
## 15 271 2 0.26 45.0901084 28
## 16 78 0 13.31 973.6813330 NA
## 17 38 41 1.53 31.0943534 8
## 18 119 1 6.74 1842.4637820 8
## 19 177 369 0.03 5.4471336 65
## 20 298 6 0.61 17.3573978 9
## 21 179 119 0.09 200.0684443 78
## 22 224 0 4.29 268.1837972 NA
## 23 335 66 NA 0.0000000 64
## 24 426 34 7.13 18.4179180 NA
## 25 276 2 8.30 805.3925284 82
## 26 246 11 3.68 0.0000000 49
## 27 211 52 0.28 11.0524790 91
## 28 485 55 6.93 519.1563781 71
## 29 142 30 0.17 0.0000000 66
## 30 265 37 0.72 33.7478620 81
## 31 84 0 10.28 954.4865933 NA
## 32 344 14 1.33 69.3592476 24
## 33 348 47 0.01 0.0000000 NA
## 34 148 3 5.03 573.4346982 86
## 35 275 53 0.01 36.8610432 69
## 36 277 70 1.59 30.6228755 NA
## 37 222 0 0.46 11.0754333 9
## 38 459 54 7.04 346.5316007 72
## 39 24 14 2.38 352.0244894 89
## 40 484 4 NA 0.0000000 93
## 41 24 0 0.90 25.3115596 83
## 42 29 8 0.01 62.4841955 8
## 43 44 41 0.25 21.5270162 NA
## 44 261 9 0.01 48.0989147 8
## 45 248 32 1.03 76.6044217 7
## 46 97 0 4.75 645.0213020 9
## 47 163 7 0.76 0.0000000 66
## 48 15 0 1.57 689.9440223 89
## 49 249 156 1.32 67.7756537 65
## 50 11 1 2.19 510.6035166 8
## 51 126 28 1.29 103.5237760 82
## 52 148 8 3.65 16.3792040 88
## 53 412 70 1.82 39.5567750 76
## 54 263 62 0.01 71.2796236 65
## 55 121 0 7.65 13.5139917 91
## 56 518 4 0.01 153.3443147 93
## 57 142 17 4.22 302.5359058 NA
## 58 197 0 4.68 43.5952296 NA
## 59 176 114 NA 0.0000000 78
## 60 32 3 NA 0.0000000 16
## 61 279 43 4.55 90.4601824 91
## 62 197 2 2.37 549.2783081 89
## 63 344 48 0.01 0.0000000 NA
## 64 294 61 1.73 56.5898422 9
## 65 17 4 6.66 233.8488603 NA
## 66 365 46 0.56 67.7626909 33
## 67 215 3 2.90 398.6058322 9
## 68 154 6 0.85 105.6337264 52
## 69 293 87 0.02 15.2960664 67
## 70 27 47 0.33 21.2369885 4
## 71 386 94 3.53 8.8667775 NA
## 72 272 1 0.09 35.0294862 NA
## 73 129 30 1.29 832.9552058 85
## 74 154 6 5.92 1088.2449520 89
## 75 357 15 1.14 36.6217429 NA
## 76 251 25 0.01 9.8040747 8
## 77 275 42 4.51 85.5559291 91
## 78 84 2 6.76 2260.7776420 9
## 79 37 7 0.01 0.0000000 71
## 80 16 0 8.41 154.9630863 86
## 81 216 17 2.03 51.5044712 8
## 82 74 2 8.30 7946.7435810 14
## 83 83 1 8.62 1403.0222110 9
## 84 272 1 0.08 19.7174104 NA
## 85 189 173 0.05 8.4601558 64
## 86 337 3 11.89 1500.4126350 NA
## 87 174 0 11.85 0.0000000 14
## 88 225 0 5.02 3.8412286 NA
## 89 327 3 10.72 156.3907685 NA
## 90 45 31 2.12 153.6783754 87
## 91 187 0 6.37 136.8836683 89
## 92 34 227 1.90 0.0000000 NA
## 93 89 3 9.18 0.0000000 92
## 94 241 150 1.84 86.8255112 69
## 95 363 30 2.47 184.3649102 83
## 96 337 3 7.19 12.0661671 NA
## 97 155 0 3.49 122.5744699 NA
## 98 34 52 0.01 0.0000000 NA
## 99 314 233 1.43 0.0000000 NA
## 100 348 87 3.98 0.0000000 92
## 101 417 9 2.45 0.0000000 NA
## 102 28 8 0.01 8.8802812 8
## 103 41 3 5.73 35.8097851 NA
## 104 48 97 1.85 15.8814925 NA
## 105 263 1 0.96 2.5866982 89
## 106 41 88 9.65 6.0025277 73
## 107 388 95 3.49 35.9334912 NA
## 108 158 9 7.92 0.0000000 88
## 109 29 49 0.30 17.4829375 92
## 110 97 1 3.34 2568.2370590 91
## 111 345 26 NA 47.4445300 NA
## 112 715 26 4.06 0.0000000 7
## 113 78 1 10.17 347.1873600 NA
## 114 115 28 8.33 0.0000000 88
## 115 281 10 0.01 25.7088169 73
## 116 183 0 6.37 128.0896289 9
## 117 31 42 1.60 3.3364380 8
## 118 218 35 0.21 31.9318732 27
## 119 341 229 1.85 0.0000000 NA
## 120 386 536 9.30 105.5910629 41
## 121 29 17 5.57 38.1090426 NA
## 122 341 49 0.01 0.0000000 NA
## 123 167 20 0.26 80.5878838 9
## 124 241 50 0.15 32.2249344 75
## 125 428 77 1.51 0.6816856 NA
## 126 49 0 7.45 8254.0207630 NA
## 127 35 20 4.79 74.4603304 NA
## 128 139 0 2.15 558.7206486 58
## 129 371 51 6.19 83.1807124 82
## 130 158 9 4.13 14.5887403 69
## Measles BMI under.five.deaths Polio Total.expenditure Diphtheria HIV.AIDS
## 1 680 NA 92 9 7.97 9 0.3
## 2 0 77.6 0 8 NA 78 0.1
## 3 45 57.1 8 5 NA 41 0.1
## 4 1 26.4 7 9 7.13 9 33.8
## 5 71 26.8 10 9 5.15 9 3.0
## 6 0 79.3 0 9 16.61 9 0.1
## 7 45 53.1 0 9 9.58 89 0.1
## 8 56 5.5 1 9 8.99 92 0.1
## 9 172 17.5 103 7 6.28 69 2.0
## 10 85 6.1 33 9 13.70 94 0.1
## 11 9357 14.3 65 6 5.17 6 0.7
## 12 1461 22.5 39 8 4.46 79 1.6
## 13 264 2.3 46 6 3.85 57 2.3
## 14 1599 19.1 21 9 NA 91 0.1
## 15 0 18.4 2 8 3.65 8 0.1
## 16 95 55.1 0 9 7.27 9 0.1
## 17 1939 21.2 63 8 3.12 8 3.4
## 18 0 57.1 1 8 8.30 8 0.1
## 19 1129 2.6 460 7 3.26 62 0.1
## 20 51 16.0 9 9 3.24 9 0.9
## 21 12943 26.5 142 8 2.85 78 0.3
## 22 0 47.6 0 7 9.65 71 0.4
## 23 118 23.3 98 7 NA 64 1.9
## 24 2095 13.2 57 9 4.22 9 8.5
## 25 2 34.6 3 8 3.13 82 4.9
## 26 295 14.9 16 5 4.32 49 0.2
## 27 329 19.1 69 9 2.50 9 0.6
## 28 244 42.2 82 7 8.26 69 28.9
## 29 4088 5.1 37 8 NA 78 0.1
## 30 0 15.8 56 8 5.30 85 0.6
## 31 5 57.0 0 9 11.80 9 0.1
## 32 187 2.4 22 8 5.73 81 4.8
## 33 9559 18.6 77 4 NA 4 0.9
## 34 0 48.6 3 8 1.49 86 0.2
## 35 221 22.5 86 7 6.58 69 1.6
## 36 4529 NA 106 6 2.95 6 0.2
## 37 0 67.9 0 9 8.12 9 0.1
## 38 1043 41.6 79 7 8.90 7 26.6
## 39 0 44.5 17 9 7.70 89 0.4
## 40 0 32.6 6 9 NA 93 9.3
## 41 0 42.1 0 9 7.83 89 0.1
## 42 35 28.8 12 8 3.36 8 1.2
## 43 3546 13.9 74 3 6.28 36 4.6
## 44 43 25.6 12 8 1.19 8 1.2
## 45 1 18.0 45 7 4.86 7 0.5
## 46 22 52.6 0 9 9.64 9 0.1
## 47 13 53.2 8 6 3.23 72 0.1
## 48 0 69.4 0 9 6.52 89 0.1
## 49 3255 16.0 231 7 6.55 65 1.4
## 50 8 58.6 1 8 1.90 8 0.1
## 51 34 58.5 34 9 5.81 9 0.1
## 52 0 46.5 9 9 6.22 88 0.3
## 53 153 16.4 108 7 4.36 76 11.6
## 54 1154 19.1 83 6 8.16 65 0.1
## 55 0 45.4 0 9 5.82 89 0.4
## 56 516 31.4 6 9 11.70 93 9.6
## 57 0 46.1 22 9 4.98 9 0.5
## 58 0 33.6 1 9 4.17 9 0.9
## 59 15099 27.4 136 8 NA 78 0.3
## 60 1250 24.5 4 17 NA 16 4.2
## 61 2511 16.6 74 9 7.17 91 1.0
## 62 0 53.4 2 9 6.81 89 0.3
## 63 8257 19.0 78 4 NA 4 0.9
## 64 95 18.9 89 9 3.97 9 4.3
## 65 0 39.8 5 9 7.61 89 0.1
## 66 8650 17.5 79 4 3.17 33 3.9
## 67 0 48.6 3 9 7.30 9 0.3
## 68 222 45.3 7 8 6.17 78 0.1
## 69 466 13.8 120 5 8.79 5 0.1
## 70 2046 2.5 61 9 1.87 84 0.5
## 71 29 17.2 152 4 4.71 4 2.5
## 72 0 17.3 2 7 3.56 7 0.1
## 73 6200 57.6 36 9 5.45 9 0.1
## 74 0 57.9 7 9 4.38 91 0.3
## 75 38 18.9 22 8 5.17 82 5.0
## 76 288 24.1 39 8 4.86 8 1.3
## 77 860 17.1 71 9 5.17 91 0.9
## 78 0 61.8 2 9 7.24 9 0.1
## 79 740 55.2 9 5 3.25 41 0.1
## 80 0 5.7 0 9 6.17 86 0.1
## 81 188 14.3 21 8 4.48 8 1.1
## 82 101 62.5 2 9 9.83 94 0.1
## 83 12 58.0 1 9 8.47 91 0.1
## 84 0 17.6 2 7 2.86 7 0.1
## 85 24457 17.5 215 8 2.53 71 0.1
## 86 1190 23.0 4 3 4.00 24 8.2
## 87 0 37.9 0 9 6.33 74 0.1
## 88 0 21.1 0 9 1.28 92 1.5
## 89 321 23.5 4 3 3.73 3 5.7
## 90 140 19.7 49 9 4.87 87 11.9
## 91 0 39.3 0 9 4.82 88 0.7
## 92 8072 15.3 332 3 2.67 3 2.4
## 93 11 26.7 3 9 4.96 88 0.1
## 94 4347 16.4 221 7 5.77 69 1.2
## 95 15754 2.7 45 8 4.41 83 6.8
## 96 0 2.2 4 5 1.63 39 4.9
## 97 2 21.5 0 9 4.81 9 0.8
## 98 1149 2.7 84 4 NA 4 0.9
## 99 182485 16.9 329 6 3.14 6 2.0
## 100 1668 21.9 126 9 5.72 92 2.4
## 101 3712 2.7 14 5 2.61 5 6.8
## 102 62 29.4 12 8 3.63 8 1.1
## 103 469 24.5 4 8 6.11 79 22.8
## 104 2219 15.4 160 3 2.79 28 2.0
## 105 3 16.1 1 9 4.41 89 0.3
## 106 3776 15.2 137 7 9.76 73 8.4
## 107 1196 16.8 155 4 4.41 4 2.4
## 108 0 56.5 11 8 4.69 87 0.1
## 109 190 19.8 65 9 1.92 9 0.5
## 110 0 57.5 1 9 9.56 91 0.1
## 111 525 NA 40 5 2.62 45 3.6
## 112 998 26.7 41 7 6.52 68 36.7
## 113 108 58.2 2 9 8.80 9 0.1
## 114 41 61.7 33 9 14.55 94 0.1
## 115 12 47.2 13 8 4.78 79 0.8
## 116 0 41.1 0 9 6.47 9 0.2
## 117 12289 2.7 63 8 3.70 78 3.5
## 118 12074 13.4 47 8 5.82 8 0.2
## 119 30466 15.7 331 4 2.59 38 2.4
## 120 9960 21.0 848 6 4.00 53 5.0
## 121 0 38.5 24 6 4.41 6 3.9
## 122 12008 19.4 80 3 NA 3 0.9
## 123 3362 17.4 25 9 5.89 9 0.2
## 124 771 17.7 93 4 6.66 75 0.7
## 125 21002 14.4 121 8 4.68 82 18.1
## 126 0 6.6 0 9 8.86 9 0.1
## 127 992 34.0 28 5 6.60 41 5.1
## 128 0 72.9 0 6 5.80 65 0.1
## 129 504 26.6 79 8 3.96 82 4.9
## 130 2 44.3 10 9 3.86 89 0.3
## GDP Population thinness..1.19.years thinness.5.9.years
## 1 1476.47887 34385963 NA NA
## 2 1424.48361 11247 0.1 0.1
## 3 NA 18734987 6.3 6.1
## 4 63.63628 191897 1.2 1.1
## 5 NA NA 7.6 7.3
## 6 3542.13589 1819 0.2 0.1
## 7 4611.47298 372284 2.6 2.6
## 8 3174.94910 43 2.6 2.8
## 9 439.35729 1239196 1.1 1.0
## 10 NA NA 0.8 0.7
## 11 278.55573 1626932 8.6 8.5
## 12 793.45243 894476 7.9 7.8
## 13 436.68955 1556524 8.4 8.4
## 14 743.76535 28656282 15.7 16.1
## 15 544.56653 583211 7.6 7.6
## 16 5886.82789 4159914 0.3 0.2
## 17 373.28155 2446782 8.6 8.5
## 18 12593.73740 393986 1.9 1.8
## 19 139.31288 16364463 2.7 21.1
## 20 482.14994 43984 8.9 8.8
## 21 3491.59589 255131116 1.4 1.2
## 22 1888.61829 47239 3.6 3.6
## 23 3695.79375 2785935 8.3 8.2
## 24 216.17275 82573 7.6 7.7
## 25 9774.18117 1756817 6.3 6.2
## 26 NA NA 1.0 1.1
## 27 741.77712 49869 13.1 13.4
## 28 3775.68275 46418194 13.5 16.1
## 29 NA 24251649 5.6 5.3
## 30 274.81972 18336724 8.1 8.0
## 31 5841.41122 5547683 1.1 0.9
## 32 513.39191 6161796 7.7 7.6
## 33 NA NA 7.8 7.6
## 34 4479.95858 646574 2.0 1.9
## 35 777.65914 16477818 8.1 7.9
## 36 412.15176 28679565 NA NA
## 37 796.79376 8446 0.2 0.2
## 38 2518.39826 45855483 14.5 17.1
## 39 2256.56724 133978 1.4 1.4
## 40 173.82893 2174645 5.5 5.3
## 41 88.87486 469885 1.3 1.3
## 42 1364.28374 383239 8.3 8.1
## 43 166.23179 8342559 11.5 11.4
## 44 415.36196 4181563 7.0 6.9
## 45 412.73934 2115164 7.6 7.5
## 46 4697.89732 3746561 2.7 2.7
## 47 NA 2863993 6.3 6.1
## 48 2594.74999 1141 0.1 0.1
## 49 354.84635 946756 1.9 1.6
## 50 5253.12260 3359859 4.9 4.7
## 51 834.86916 6876345 5.0 4.8
## 52 278.55789 1359647 1.5 1.3
## 53 519.79993 3648288 8.6 8.5
## 54 584.25921 33736494 17.2 17.3
## 55 1228.54470 NA 4.1 4.1
## 56 1196.13350 2117361 6.1 5.9
## 57 1981.24365 26261363 1.4 1.4
## 58 643.94726 1267984 6.7 7.2
## 59 3336.16686 258162113 1.4 1.2
## 60 1347.31257 1175389 8.4 8.3
## 61 575.44645 1565217 9.0 8.6
## 62 3736.58713 619256 1.7 1.6
## 63 NA NA 7.7 7.5
## 64 967.34773 4135152 8.2 8.0
## 65 1417.26582 546624 2.5 2.4
## 66 989.23636 12288651 9.2 9.1
## 67 2632.79942 6775 1.9 1.8
## 68 2473.85776 848455 2.9 2.9
## 69 219.14135 24118979 19.5 19.7
## 70 1186.42394 555331 13.0 13.3
## 71 141.86844 18865716 1.2 1.1
## 72 375.85286 542357 7.9 7.9
## 73 7384.35466 679346 5.0 4.9
## 74 6268.69212 145844 3.3 3.2
## 75 372.17218 5683268 8.4 8.3
## 76 837.95510 972916 7.4 7.3
## 77 666.84278 168194 8.8 8.4
## 78 15431.92930 1739746 0.8 0.8
## 79 NA 1989141 6.3 6.1
## 80 1595.91232 NA 3.8 3.8
## 81 539.87915 13474489 11.4 11.6
## 82 44544.52680 32887928 0.5 0.4
## 83 12538.17883 1862132 0.9 0.8
## 84 395.93194 555888 7.8 7.8
## 85 164.59447 22545214 1.9 11.0
## 86 21557.65280 138593 8.7 8.7
## 87 NA NA 4.4 4.5
## 88 51.21638 141622 7.8 7.8
## 89 2246.99380 183746 8.6 8.6
## 90 1369.68249 1382517 6.8 6.7
## 91 1653.18440 13926 6.1 6.5
## 92 NA NA 12.2 12.1
## 93 NA NA 1.6 1.0
## 94 468.56725 92444183 1.7 1.5
## 95 1463.21357 138533 6.7 6.5
## 96 185.63334 757317 9.8 9.8
## 97 1239.37785 43579 9.6 9.5
## 98 NA NA 7.3 7.1
## 99 NA NA 11.5 11.3
## 100 NA NA 6.9 6.8
## 101 NA NA 9.1 8.8
## 102 145.57838 394617 8.1 7.9
## 103 257.99557 1899257 15.7 15.9
## 104 555.29694 1644924 1.9 1.9
## 105 197.45788 64282 18.0 18.8
## 106 41.85863 359487 6.3 6.3
## 107 779.46836 1823369 1.4 1.3
## 108 NA NA 1.7 1.6
## 109 987.73658 5155896 13.1 13.3
## 110 9985.36959 4654122 1.8 1.7
## 111 1186.11325 1117749 NA NA
## 112 453.35116 12633897 9.8 9.9
## 113 2169.92100 19153 0.7 0.7
## 114 NA NA 0.8 0.6
## 115 229.95364 7592865 1.3 1.3
## 116 1458.87960 1321618 6.0 6.4
## 117 39.48447 19924522 8.8 8.8
## 118 287.41560 2539449 17.8 18.4
## 119 NA NA 12.1 11.9
## 120 1383.89335 1534739 12.0 11.9
## 121 465.31188 926344 4.4 4.4
## 122 NA NA 7.6 7.4
## 123 681.79259 27649925 16.3 16.7
## 124 375.58199 1764636 1.5 1.3
## 125 43.97971 3145483 9.2 9.1
## 126 52473.11356 327386 1.0 0.9
## 127 462.48652 85492 4.8 4.8
## 128 3942.98270 187665 0.2 0.1
## 129 1295.64973 252447 6.0 6.0
## 130 193.74157 12852755 1.6 1.5
## Income.composition.of.resources Schooling
## 1 0.461 7.0
## 2 0.586 11.9
## 3 0.553 9.0
## 4 0.440 10.5
## 5 0.581 11.1
## 6 NA 0.0
## 7 0.717 13.3
## 8 0.735 13.1
## 9 0.333 5.5
## 10 NA NA
## 11 0.456 8.2
## 12 0.448 9.3
## 13 0.376 8.1
## 14 0.555 12.2
## 15 0.000 9.2
## 16 0.889 17.5
## 17 0.489 7.9
## 18 0.780 13.0
## 19 0.513 7.3
## 20 0.404 5.1
## 21 0.682 12.9
## 22 0.000 11.1
## 23 0.531 11.4
## 24 0.318 6.6
## 25 0.669 12.5
## 26 0.494 8.7
## 27 0.504 8.5
## 28 0.613 12.9
## 29 0.607 8.7
## 30 0.473 8.9
## 31 0.906 16.8
## 32 0.441 10.1
## 33 NA NA
## 34 0.679 12.3
## 35 0.421 8.0
## 36 0.403 5.6
## 37 0.000 10.0
## 38 0.620 12.9
## 39 0.570 9.8
## 40 0.495 10.7
## 41 0.465 8.3
## 42 0.491 7.8
## 43 0.000 4.7
## 44 0.416 9.6
## 45 0.503 10.2
## 46 0.716 13.3
## 47 0.646 12.0
## 48 0.694 14.6
## 49 0.411 8.2
## 50 0.000 15.0
## 51 0.687 11.9
## 52 0.682 12.7
## 53 0.474 9.6
## 54 0.479 10.1
## 55 0.753 14.2
## 56 0.484 11.1
## 57 0.677 13.4
## 58 0.709 11.7
## 59 0.686 12.9
## 60 0.582 9.2
## 61 0.365 6.3
## 62 0.666 13.0
## 63 NA NA
## 64 0.523 11.1
## 65 0.624 11.8
## 66 0.370 6.7
## 67 0.636 12.4
## 68 0.682 10.7
## 69 0.381 6.8
## 70 0.526 9.1
## 71 0.415 6.4
## 72 0.000 8.2
## 73 0.681 11.9
## 74 0.712 13.2
## 75 0.435 10.1
## 76 0.458 10.0
## 77 0.377 6.7
## 78 0.826 15.5
## 79 0.635 13.0
## 80 0.781 15.8
## 81 0.483 10.1
## 82 0.894 15.8
## 83 0.801 14.2
## 84 0.000 8.5
## 85 0.613 10.8
## 86 0.583 9.2
## 87 0.681 12.5
## 88 0.497 9.4
## 89 0.586 9.2
## 90 0.504 11.4
## 91 0.760 12.4
## 92 NA NA
## 93 NA NA
## 94 0.422 8.4
## 95 0.533 11.8
## 96 0.563 8.7
## 97 0.000 11.3
## 98 NA NA
## 99 NA NA
## 100 NA NA
## 101 0.492 9.4
## 102 0.501 8.2
## 103 0.559 11.5
## 104 0.382 4.6
## 105 0.000 8.8
## 106 0.442 10.3
## 107 0.406 5.9
## 108 0.700 11.8
## 109 0.515 8.8
## 110 0.758 13.6
## 111 0.417 4.9
## 112 0.418 9.5
## 113 0.897 20.4
## 114 NA NA
## 115 0.506 10.0
## 116 0.773 12.5
## 117 0.484 7.6
## 118 0.463 9.3
## 119 NA NA
## 120 0.481 9.2
## 121 0.452 8.2
## 122 NA NA
## 123 0.538 12.3
## 124 0.323 4.8
## 125 0.448 8.4
## 126 0.915 19.0
## 127 0.439 7.8
## 128 0.693 12.9
## 129 0.486 10.0
## 130 0.670 12.4train %>% filter(Country == "Afghanistan")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Afghanistan 2003 Developing 56.7 295 87
## 2 Afghanistan 2000 Developing 54.8 321 88
## 3 Afghanistan 2006 Developing 57.3 295 84
## 4 Afghanistan 2008 Developing 58.1 287 80
## 5 Afghanistan 2007 Developing 57.5 295 82
## 6 Afghanistan 2014 Developing 59.9 271 64
## 7 Afghanistan 2012 Developing 59.5 272 69
## 8 Afghanistan 2015 Developing 65.0 263 62
## 9 Afghanistan 2004 Developing 57.0 293 87
## 10 Afghanistan 2002 Developing 56.2 3 88
## 11 Afghanistan 2005 Developing 57.3 291 85
## 12 Afghanistan 2009 Developing 58.6 281 77
## 13 Afghanistan 2011 Developing 59.2 275 71
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 0.01 11.089053 65 798 13.4 122
## 2 0.01 10.424960 62 6532 12.2 122
## 3 0.03 17.171518 64 1990 14.7 116
## 4 0.03 25.873925 64 1599 15.7 110
## 5 0.02 10.910156 63 1141 15.2 113
## 6 0.01 73.523582 62 492 18.6 86
## 7 0.01 78.184215 67 2787 17.6 93
## 8 0.01 71.279624 65 1154 19.1 83
## 9 0.02 15.296066 67 466 13.8 120
## 10 0.01 16.887351 64 2486 13.0 122
## 11 0.02 1.388648 66 1296 14.2 118
## 12 0.01 56.762217 63 2861 16.2 106
## 13 0.01 7.097109 68 3013 17.2 97
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 41 8.82 41 0.1 198.72854 2364851
## 2 24 8.20 24 0.1 114.56000 293756
## 3 58 7.43 58 0.1 272.56377 2589345
## 4 64 8.33 64 0.1 373.36112 2729431
## 5 63 6.73 63 0.1 369.83580 26616792
## 6 58 8.18 62 0.1 612.69651 327582
## 7 67 8.52 67 0.1 669.95900 3696958
## 8 6 8.16 65 0.1 584.25921 33736494
## 9 5 8.79 5 0.1 219.14135 24118979
## 10 36 7.76 36 0.1 187.84595 21979923
## 11 58 8.70 58 0.1 25.29413 257798
## 12 63 9.42 63 0.1 445.89330 284331
## 13 68 7.87 68 0.1 63.53723 2978599
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 19.7 19.9 0.373
## 2 2.3 2.5 0.338
## 3 19.2 19.3 0.405
## 4 18.8 18.9 0.433
## 5 19.0 19.1 0.415
## 6 17.5 17.5 0.476
## 7 17.9 18.0 0.463
## 8 17.2 17.3 0.479
## 9 19.5 19.7 0.381
## 10 19.9 2.2 0.341
## 11 19.3 19.5 0.396
## 12 18.6 18.7 0.434
## 13 18.2 18.2 0.454
## Schooling
## 1 6.5
## 2 5.5
## 3 8.1
## 4 8.7
## 5 8.4
## 6 10.0
## 7 9.8
## 8 10.1
## 9 6.8
## 10 6.2
## 11 7.9
## 12 8.9
## 13 9.5train %>% filter(Country == "Guatemala")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Guatemala 2014 Developing 71.7 187 10
## 2 Guatemala 2009 Developing 76.0 198 12
## 3 Guatemala 2004 Developing 69.6 21 15
## 4 Guatemala 2006 Developing 69.7 24 14
## 5 Guatemala 2010 Developing 77.0 196 12
## 6 Guatemala 2008 Developing 79.0 19 13
## 7 Guatemala 2011 Developing 71.1 193 11
## 8 Guatemala 2001 Developing 68.4 211 16
## 9 Guatemala 2012 Developing 71.3 189 11
## 10 Guatemala 2013 Developing 71.4 189 11
## 11 Guatemala 2003 Developing 69.4 24 15
## 12 Guatemala 2002 Developing 69.3 21 16
## 13 Guatemala 2005 Developing 69.2 28 14
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 1.88 657.52828 73 0 49.9 13
## 2 2.14 445.44234 92 0 46.5 15
## 3 2.40 288.40163 NA 0 43.1 18
## 4 2.38 352.02449 89 0 44.5 17
## 5 2.14 443.32483 94 0 47.2 14
## 6 2.21 472.22350 95 0 45.9 15
## 7 2.16 457.77458 88 0 47.9 14
## 8 2.53 225.06200 NA 0 41.1 20
## 9 2.02 484.71879 96 0 48.6 13
## 10 1.93 582.14696 85 0 49.3 13
## 11 2.45 249.32629 NA 0 42.4 19
## 12 2.41 25.25041 NA 0 41.7 20
## 13 2.35 41.50846 87 0 43.8 18
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 65 6.20 73 0.4 3687.7638 15923559
## 2 92 6.79 92 0.4 2635.7535 1431628
## 3 88 6.77 87 0.4 1872.7378 12796925
## 4 9 7.70 89 0.4 2256.5672 133978
## 5 94 6.64 94 0.4 2825.5247 1463417
## 6 96 6.65 95 0.4 2794.2219 146366
## 7 88 6.28 88 0.4 3187.8453 14948919
## 8 78 6.76 77 0.3 1568.3763 11924946
## 9 94 6.33 96 0.4 3299.6514 1527156
## 10 84 6.30 85 0.4 3452.8289 15596214
## 11 84 6.88 84 0.4 1753.3495 125478
## 12 82 6.71 82 0.3 171.7715 1228848
## 13 87 6.79 87 0.4 277.8344 139628
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 1.2 1.2 0.614
## 2 1.3 1.3 0.596
## 3 1.4 1.4 0.564
## 4 1.4 1.4 0.570
## 5 1.3 1.3 0.602
## 6 1.3 1.3 0.589
## 7 1.2 1.2 0.609
## 8 1.5 1.5 0.546
## 9 1.2 1.2 0.616
## 10 1.2 1.2 0.611
## 11 1.4 1.4 0.560
## 12 1.5 1.5 0.553
## 13 1.4 1.4 0.567
## Schooling
## 1 10.7
## 2 10.4
## 3 9.3
## 4 9.8
## 5 10.5
## 6 10.4
## 7 10.5
## 8 8.5
## 9 10.6
## 10 10.7
## 11 9.0
## 12 8.8
## 13 9.6train %>% filter(Country == "Madagascar")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Madagascar 2001 Developing 58.7 276 42
## 2 Madagascar 2008 Developing 62.3 259 34
## 3 Madagascar 2009 Developing 62.8 254 33
## 4 Madagascar 2013 Developing 64.7 23 29
## 5 Madagascar 2011 Developing 63.8 241 31
## 6 Madagascar 2005 Developing 69.0 265 37
## 7 Madagascar 2015 Developing 65.5 22 28
## 8 Madagascar 2004 Developing 64.0 267 38
## 9 Madagascar 2010 Developing 63.3 248 32
## 10 Madagascar 2003 Developing 59.9 268 40
## 11 Madagascar 2012 Developing 64.3 235 30
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 1.05 42.563316 NA 9357 14.3 65
## 2 0.68 6.448763 77 3 17.1 49
## 3 0.91 71.166012 77 0 17.6 47
## 4 0.87 79.508825 74 6 19.5 40
## 5 0.97 78.799672 73 0 18.5 43
## 6 0.72 33.747862 81 0 15.8 56
## 7 NA 0.000000 69 3 2.5 38
## 8 0.81 23.727963 71 35558 15.4 58
## 9 1.03 76.604422 7 1 18.0 45
## 10 0.93 37.128948 61 62233 15.0 60
## 11 0.87 59.979145 7 2 19.0 42
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 6 5.17 6 0.7 278.55573 1626932
## 2 77 4.50 77 0.5 47.73325 19996469
## 3 76 4.70 77 0.5 415.68932 2569121
## 4 73 4.15 74 0.4 461.72372 22961146
## 5 73 4.24 73 0.4 454.96346 21743949
## 6 8 5.30 85 0.6 274.81972 18336724
## 7 71 NA 69 0.3 41.85760 2423488
## 8 74 4.89 78 0.6 245.12359 1782997
## 9 7 4.86 7 0.5 412.73934 2115164
## 10 65 4.81 66 0.7 316.79990 17279141
## 11 71 3.46 7 0.4 443.96110 22346573
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 8.6 8.5 0.456
## 2 7.8 7.7 0.491
## 3 7.7 7.6 0.500
## 4 7.3 7.2 0.508
## 5 7.5 7.4 0.504
## 6 8.1 8.0 0.473
## 7 7.1 7.1 0.511
## 8 8.2 8.1 0.466
## 9 7.6 7.5 0.503
## 10 8.3 8.3 0.457
## 11 7.4 7.3 0.506
## Schooling
## 1 8.2
## 2 9.4
## 3 9.7
## 4 10.3
## 5 10.2
## 6 8.9
## 7 10.3
## 8 8.7
## 9 10.2
## 10 8.5
## 11 10.2train %>% filter(Country == "Saint Lucia")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Saint Lucia 2015 Developing 75.2 138 0
## 2 Saint Lucia 2012 Developing 74.7 142 0
## 3 Saint Lucia 2009 Developing 74.3 147 0
## 4 Saint Lucia 2001 Developing 71.8 178 0
## 5 Saint Lucia 2010 Developing 74.2 147 0
## 6 Saint Lucia 2002 Developing 72.0 174 0
## 7 Saint Lucia 2004 Developing 72.6 166 0
## 8 Saint Lucia 2011 Developing 74.6 143 0
## 9 Saint Lucia 2008 Developing 74.1 149 0
## 10 Saint Lucia 2003 Developing 72.2 171 0
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 NA 0 99 0 47.5 0
## 2 9.99 0 98 0 45.2 0
## 3 11.09 0 95 0 43.0 0
## 4 12.03 0 NA 0 37.3 0
## 5 10.87 0 97 0 43.8 0
## 6 11.85 0 14 0 37.9 0
## 7 11.93 0 91 0 39.0 0
## 8 10.43 0 99 0 44.5 0
## 9 12.09 0 96 0 42.2 0
## 10 12.55 0 84 0 38.4 0
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 99 NA 99 0.1 NA NA
## 2 98 8.35 98 0.1 NA NA
## 3 95 8.12 95 0.1 NA NA
## 4 99 6.10 99 0.3 NA NA
## 5 97 8.10 97 0.1 NA NA
## 6 9 6.33 74 0.1 NA NA
## 7 91 6.20 91 0.2 NA NA
## 8 99 7.58 99 0.1 NA NA
## 9 96 7.43 96 0.1 NA NA
## 10 91 6.10 9 0.2 NA NA
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 4.3 4.3 0.735
## 2 4.3 4.3 0.735
## 3 4.3 4.4 0.717
## 4 4.5 4.5 0.684
## 5 4.3 4.3 0.724
## 6 4.4 4.5 0.681
## 7 4.4 4.4 0.686
## 8 4.3 4.3 0.733
## 9 4.3 4.4 0.710
## 10 4.4 4.4 0.684
## Schooling
## 1 13.1
## 2 13.0
## 3 12.7
## 4 12.6
## 5 12.8
## 6 12.5
## 7 12.3
## 8 12.9
## 9 12.6
## 10 12.4train %>% filter(Country == "United States of America")## Country Year Status Life.expectancy Adult.Mortality
## 1 United States of America 2015 Developed 79.3 13
## 2 United States of America 2001 Developed 76.9 115
## 3 United States of America 2000 Developed 76.8 114
## 4 United States of America 2012 Developed 78.8 16
## 5 United States of America 2006 Developed 77.8 113
## 6 United States of America 2014 Developed 79.1 14
## 7 United States of America 2010 Developed 78.7 15
## 8 United States of America 2003 Developed 77.2 114
## 9 United States of America 2008 Developed 78.2 18
## 10 United States of America 2009 Developed 78.5 18
## 11 United States of America 2013 Developed 78.9 16
## 12 United States of America 2004 Developed 77.5 111
## 13 United States of America 2007 Developed 78.1 11
## 14 United States of America 2002 Developed 77.0 115
## infant.deaths Alcohol percentage.expenditure Hepatitis.B Measles BMI
## 1 23 NA 0 92 188 69.6
## 2 28 8.25 0 89 116 6.9
## 3 28 8.21 0 9 85 6.1
## 4 24 8.82 0 9 55 68.0
## 5 28 8.63 0 93 55 64.4
## 6 23 8.82 0 92 667 69.1
## 7 25 8.55 0 92 63 66.9
## 8 28 8.40 0 92 56 62.4
## 9 27 8.74 0 94 140 65.7
## 10 26 8.71 0 92 71 66.3
## 11 23 8.82 0 91 187 68.6
## 12 28 8.48 0 92 37 63.1
## 13 27 8.74 0 93 43 65.1
## 14 28 8.33 0 88 41 61.7
## under.five.deaths Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 26 93 NA 95 0.1 NA NA
## 2 33 89 13.73 94 0.1 NA NA
## 3 33 9 13.70 94 0.1 NA NA
## 4 28 93 17.20 94 0.1 NA NA
## 5 33 93 15.27 96 0.1 NA NA
## 6 27 93 17.14 95 0.1 NA NA
## 7 30 93 17.20 95 0.1 NA NA
## 8 33 91 15.60 96 0.1 NA NA
## 9 31 94 16.20 96 0.1 NA NA
## 10 31 93 17.00 95 0.1 NA NA
## 11 27 93 16.90 94 0.1 NA NA
## 12 33 92 15.14 96 0.1 NA NA
## 13 32 93 15.57 96 0.1 NA NA
## 14 33 9 14.55 94 0.1 NA NA
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 0.8 0.6 NA
## 2 0.8 0.6 NA
## 3 0.8 0.7 NA
## 4 0.7 0.6 NA
## 5 0.7 0.6 NA
## 6 0.8 0.6 NA
## 7 0.7 0.6 NA
## 8 0.7 0.6 NA
## 9 0.7 0.6 NA
## 10 0.7 0.6 NA
## 11 0.7 0.6 NA
## 12 0.7 0.6 NA
## 13 0.7 0.6 NA
## 14 0.8 0.6 NA
## Schooling
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 NA
## 10 NA
## 11 NA
## 12 NA
## 13 NA
## 14 NAPolio appears to have the same reporting errors.
Check now for Diphtheria:
train %>% filter(Diphtheria < 20)## Country Year Status Life.expectancy
## 1 Sudan 2010 Developing 62.5
## 2 Lesotho 2003 Developing 45.5
## 3 Tonga 2003 Developing 72.0
## 4 Liberia 2005 Developing 55.3
## 5 Congo 2014 Developing 64.2
## 6 Tuvalu 2013 Developing NA
## 7 Qatar 2000 Developing 76.2
## 8 Nigeria 2006 Developing 49.8
## 9 Syrian Arab Republic 2005 Developing 73.5
## 10 Tonga 2004 Developing 72.2
## 11 Madagascar 2001 Developing 58.7
## 12 Uruguay 2000 Developing 75.1
## 13 Liberia 2014 Developing 58.1
## 14 Vanuatu 2002 Developing 69.3
## 15 Iraq 2000 Developing 70.0
## 16 Comoros 2003 Developing 59.6
## 17 Ireland 2005 Developed 78.7
## 18 Ghana 2003 Developing 57.9
## 19 Panama 2014 Developing 77.6
## 20 Trinidad and Tobago 2011 Developing 76.0
## 21 Haiti 2006 Developing 61.1
## 22 Eritrea 2010 Developing 62.1
## 23 Ethiopia 2007 Developing 58.5
## 24 United Republic of Tanzania 2011 Developing 58.3
## 25 Liberia 2006 Developing 56.7
## 26 Rwanda 2000 Developing 48.3
## 27 Republic of Moldova 2010 Developing 68.8
## 28 Myanmar 2009 Developing 65.2
## 29 Togo 2001 Developing 54.6
## 30 Democratic Republic of the Congo 2007 Developing 55.7
## 31 Ukraine 2011 Developing 75.0
## 32 United Republic of Tanzania 2005 Developing 52.2
## 33 Equatorial Guinea 2014 Developing 57.9
## 34 Denmark 2010 Developed 79.2
## 35 New Zealand 2002 Developed 78.7
## 36 Somalia 2002 Developing 58.0
## 37 Cabo Verde 2001 Developing 73.0
## 38 Philippines 2015 Developing 68.5
## 39 Costa Rica 2008 Developing 78.9
## 40 Haiti 2015 Developing 63.5
## 41 Guinea 2008 Developing 56.8
## 42 Sudan 2002 Developing 59.4
## 43 Kiribati 2000 Developing 64.1
## 44 South Africa 2002 Developing 54.9
## 45 Lao People's Democratic Republic 2007 Developing 62.1
## 46 Peru 2015 Developing 75.5
## 47 Trinidad and Tobago 2008 Developing 69.9
## 48 Mauritania 2012 Developing 62.5
## 49 Solomon Islands 2010 Developing 68.3
## 50 Democratic Republic of the Congo 2014 Developing 59.3
## 51 Cameroon 2009 Developing 54.8
## 52 Liberia 2012 Developing 67.0
## 53 Madagascar 2010 Developing 63.3
## 54 Burundi 2000 Developing 58.0
## 55 Bosnia and Herzegovina 2009 Developing 76.1
## 56 Kenya 2006 Developing 55.3
## 57 Lesotho 2004 Developing 44.8
## 58 Guyana 2003 Developing 65.3
## 59 Solomon Islands 2007 Developing 67.6
## 60 Lebanon 2001 Developing 73.0
## 61 Turkey 2006 Developing 72.8
## 62 Uganda 2010 Developing 58.4
## 63 Republic of Moldova 2013 Developing 71.7
## 64 Fiji 2000 Developing 67.7
## 65 Cambodia 2001 Developing 58.5
## 66 Gambia 2000 Developing 55.9
## 67 Côte d'Ivoire 2013 Developing 52.3
## 68 Peru 2001 Developing 72.4
## 69 Trinidad and Tobago 2000 Developing 69.1
## 70 Equatorial Guinea 2015 Developing 58.2
## 71 Somalia 2003 Developing 51.1
## 72 Kenya 2010 Developing 63.0
## 73 New Zealand 2003 Developed 79.1
## 74 El Salvador 2004 Developing 70.0
## 75 Afghanistan 2004 Developing 57.0
## 76 Angola 2004 Developing 47.1
## 77 Democratic Republic of the Congo 2000 Developing 51.3
## 78 Mozambique 2005 Developing 58.0
## 79 Comoros 2000 Developing 59.5
## 80 Turkey 2005 Developing 72.4
## 81 Republic of Moldova 2008 Developing 68.9
## 82 Benin 2012 Developing 59.3
## 83 Chad 2012 Developing 51.8
## 84 Chile 2012 Developing 79.9
## 85 Cambodia 2006 Developing 64.1
## 86 Comoros 2001 Developing 59.5
## 87 Malawi 2001 Developing 43.5
## 88 Lebanon 2007 Developing 74.4
## 89 Equatorial Guinea 2013 Developing 57.4
## 90 Syrian Arab Republic 2010 Developing 73.7
## 91 Germany 2000 Developed 78.0
## 92 Democratic Republic of the Congo 2001 Developing 51.8
## 93 New Zealand 2000 Developed 78.6
## 94 Cabo Verde 2000 Developing 69.9
## 95 Chad 2006 Developing 48.5
## 96 Somalia 2007 Developing 51.5
## 97 Mauritania 2004 Developing 64.0
## 98 Kenya 2001 Developing 51.9
## 99 Democratic Republic of the Congo 2005 Developing 54.3
## 100 Israel 2002 Developing 79.3
## 101 Congo 2003 Developing 53.2
## 102 Mauritania 2013 Developing 62.7
## 103 Ethiopia 2000 Developing 51.2
## 104 Solomon Islands 2004 Developing 67.1
## 105 Benin 2005 Developing 56.5
## 106 Cameroon 2005 Developing 52.8
## 107 India 2008 Developing 65.5
## 108 Panama 2013 Developing 77.5
## 109 Angola 2003 Developing 46.8
## 110 New Zealand 2001 Developed 78.5
## 111 Equatorial Guinea 2006 Developing 54.8
## 112 Guinea 2004 Developing 54.0
## 113 Myanmar 2010 Developing 65.4
## 114 Madagascar 2012 Developing 64.3
## 115 Ghana 2004 Developing 58.3
## 116 Guinea 2001 Developing 52.5
## 117 United Republic of Tanzania 2006 Developing 53.1
## 118 Australia 2000 Developed 79.5
## 119 Trinidad and Tobago 2009 Developing 71.0
## 120 Zimbabwe 2006 Developing 45.4
## 121 Nepal 2004 Developing 64.7
## 122 Venezuela (Bolivarian Republic of) 2008 Developing 73.2
## 123 Haiti 2005 Developing 65.0
## 124 Somalia 2004 Developing 51.2
## 125 Nepal 2012 Developing 68.9
## 126 Iceland 2014 Developed 82.5
## 127 Saint Lucia 2003 Developing 72.2
## 128 Ethiopia 2004 Developing 55.0
## 129 Eritrea 2002 Developing 58.5
## Adult.Mortality infant.deaths Alcohol percentage.expenditure Hepatitis.B
## 1 243 62 1.77 172.0097884 75
## 2 648 5 1.99 5.3009020 17
## 3 153 0 1.79 45.8510577 85
## 4 316 12 4.19 22.3964881 NA
## 5 275 7 0.01 0.0000000 9
## 6 NA 0 0.01 78.2812032 9
## 7 88 0 0.50 1559.2871580 89
## 8 396 549 9.66 10.3577942 27
## 9 127 9 0.92 116.2585943 83
## 10 151 0 1.80 423.2953509 9
## 11 276 42 1.05 42.5633159 NA
## 12 131 1 6.65 645.9583816 92
## 13 329 8 0.01 54.3739696 5
## 14 176 0 1.24 171.1373611 66
## 15 144 30 0.20 0.0000000 67
## 16 271 2 0.26 45.0901084 28
## 17 78 0 13.31 973.6813330 NA
## 18 38 41 1.53 31.0943534 8
## 19 119 1 6.74 1842.4637820 8
## 20 176 0 6.50 144.9850711 9
## 21 28 17 6.18 6.9955564 NA
## 22 298 6 0.61 17.3573978 9
## 23 39 186 1.06 30.4645181 47
## 24 348 88 4.04 0.0000000 9
## 25 32 11 4.05 15.7993415 NA
## 26 426 34 7.13 18.4179180 NA
## 27 219 1 8.25 0.0000000 98
## 28 211 52 0.28 11.0524790 91
## 29 345 14 0.95 2.0485749 NA
## 30 299 236 1.52 0.0000000 7
## 31 24 5 8.48 415.1627705 21
## 32 449 97 3.94 0.0000000 9
## 33 32 3 0.01 13.4047742 2
## 34 84 0 10.28 954.4865933 NA
## 35 83 0 9.13 2892.2571320 89
## 36 348 47 0.01 0.0000000 NA
## 37 152 0 3.81 150.7434862 NA
## 38 211 52 NA 0.0000000 6
## 39 99 1 4.22 1859.0956210 89
## 40 24 14 NA 0.0000000 6
## 41 33 30 0.21 19.6851026 57
## 42 277 70 1.59 30.6228755 NA
## 43 222 0 0.46 11.0754333 9
## 44 459 54 7.04 346.5316007 72
## 45 234 11 5.00 0.0000000 5
## 46 123 8 NA 0.0000000 9
## 47 185 0 6.41 1902.6930480 9
## 48 29 8 0.01 62.4841955 8
## 49 188 0 1.10 29.5207994 9
## 50 266 237 0.01 0.0000000 8
## 51 373 54 5.89 9.0425409 8
## 52 261 9 0.01 48.0989147 8
## 53 248 32 1.03 76.6044217 7
## 54 386 25 6.61 9.6966892 NA
## 55 97 0 4.75 645.0213020 9
## 56 388 68 1.76 52.6038543 8
## 57 666 5 1.80 67.9136182 6
## 58 237 1 7.93 16.4794902 9
## 59 2 0 0.85 28.9013523 9
## 60 11 1 2.19 510.6035166 8
## 61 126 28 1.29 103.5237760 82
## 62 362 79 10.03 116.2029640 8
## 63 163 1 10.49 0.0000000 91
## 64 221 0 2.05 31.2583462 98
## 65 273 25 1.71 27.6897105 NA
## 66 33 3 2.18 0.0000000 91
## 67 412 59 3.15 0.0000000 8
## 68 142 17 4.22 302.5359058 NA
## 69 197 0 4.68 43.5952296 NA
## 70 32 3 NA 0.0000000 16
## 71 344 48 0.01 0.0000000 NA
## 72 294 61 1.73 56.5898422 9
## 73 82 0 8.91 3661.7929220 89
## 74 215 3 2.90 398.6058322 9
## 75 293 87 0.02 15.2960664 67
## 76 386 94 3.53 8.8667775 NA
## 77 346 226 1.98 0.0000000 NA
## 78 434 80 1.23 67.3337873 75
## 79 272 1 0.09 35.0294862 NA
## 80 129 30 1.29 832.9552058 85
## 81 228 1 9.07 0.0000000 97
## 82 251 25 0.01 9.8040747 8
## 83 367 46 0.62 57.8242709 4
## 84 84 2 6.76 2260.7776420 9
## 85 216 17 2.03 51.5044712 8
## 86 272 1 0.08 19.7174104 NA
## 87 599 48 1.15 12.7976063 NA
## 88 98 1 1.72 8.9069312 8
## 89 327 3 10.72 156.3907685 NA
## 90 127 7 0.78 0.0000000 84
## 91 95 3 12.91 4238.5400350 84
## 92 34 227 1.90 0.0000000 NA
## 93 87 0 8.91 2143.0210830 9
## 94 155 0 3.49 122.5744699 NA
## 95 414 45 0.41 62.6722597 NA
## 96 34 52 0.01 0.0000000 NA
## 97 224 8 0.01 5.0037829 NA
## 98 434 77 1.63 3.8476029 NA
## 99 314 233 1.43 0.0000000 NA
## 100 74 1 2.47 1701.1957870 98
## 101 417 9 2.45 0.0000000 NA
## 102 28 8 0.01 8.8802812 8
## 103 391 253 0.88 11.5948177 NA
## 104 29 0 1.18 195.5259417 81
## 105 285 25 1.13 7.1069974 7
## 106 4 58 5.03 73.0327619 79
## 107 23 1300 1.93 43.0304331 29
## 108 118 1 6.89 1694.4670750 8
## 109 388 95 3.49 35.9334912 NA
## 110 83 0 8.75 2205.9859500 9
## 111 337 3 7.28 827.5979335 NA
## 112 334 33 0.34 18.9301126 NA
## 113 29 49 0.30 17.4829375 92
## 114 235 30 0.87 59.9791446 7
## 115 34 41 1.46 53.2377598 8
## 116 336 36 0.17 19.8979093 NA
## 117 437 96 4.07 0.0000000 9
## 118 78 1 10.17 347.1873600 NA
## 119 183 0 6.37 128.0896289 9
## 120 7 28 4.57 34.2621688 68
## 121 218 35 0.21 31.9318732 27
## 122 168 9 8.18 0.0000000 53
## 123 29 17 5.57 38.1090426 NA
## 124 341 49 0.01 0.0000000 NA
## 125 167 20 0.26 80.5878838 9
## 126 49 0 7.45 8254.0207630 NA
## 127 171 0 12.55 0.0000000 84
## 128 354 217 0.86 1.5069625 NA
## 129 343 7 0.83 0.7031322 86
## Measles BMI under.five.deaths Polio Total.expenditure Diphtheria HIV.AIDS
## 1 680 NA 92 9 7.97 9 0.3
## 2 1 26.4 7 9 7.13 9 33.8
## 3 0 67.8 0 91 5.90 9 0.1
## 4 8 22.0 16 66 8.40 6 3.1
## 5 71 26.8 10 9 5.15 9 3.0
## 6 0 79.3 0 9 16.61 9 0.1
## 7 46 62.4 0 91 2.18 8 0.1
## 8 704 19.9 879 46 3.66 4 5.3
## 9 375 47.6 10 83 4.11 8 0.1
## 10 0 68.6 0 91 4.87 9 0.1
## 11 9357 14.3 65 6 5.17 6 0.7
## 12 0 55.0 1 92 7.82 9 0.1
## 13 34 26.7 11 49 1.40 5 0.9
## 14 101 42.6 0 67 3.52 7 0.1
## 15 726 49.5 37 83 NA 8 0.1
## 16 0 18.4 2 8 3.65 8 0.1
## 17 95 55.1 0 9 7.27 9 0.1
## 18 1939 21.2 63 8 3.12 8 3.4
## 19 0 57.1 1 8 8.30 8 0.1
## 20 0 43.0 0 91 5.60 9 0.4
## 21 0 39.6 23 61 5.70 6 3.3
## 22 51 16.0 9 9 3.24 9 0.9
## 23 1446 14.5 286 61 4.69 5 2.8
## 24 1622 21.3 128 88 5.72 9 3.1
## 25 20 22.4 15 66 1.90 6 3.0
## 26 2095 13.2 57 9 4.22 9 8.5
## 27 0 5.4 1 97 12.80 9 0.1
## 28 329 19.1 69 9 2.50 9 0.6
## 29 1833 17.1 22 51 4.29 5 5.3
## 30 55577 17.8 326 72 3.61 7 1.9
## 31 1333 59.0 5 54 6.98 5 0.2
## 32 23 18.1 149 91 4.66 9 10.0
## 33 13 24.0 4 24 3.80 2 4.4
## 34 5 57.0 0 9 11.80 9 0.1
## 35 21 6.3 0 84 7.89 9 0.1
## 36 9559 18.6 77 4 NA 4 0.9
## 37 0 22.1 0 91 5.19 9 0.8
## 38 619 25.4 66 79 NA 6 0.1
## 39 0 53.4 1 89 9.10 9 0.1
## 40 0 49.9 18 56 NA 6 0.5
## 41 89 19.8 47 59 3.21 6 2.3
## 42 4529 NA 106 6 2.95 6 0.2
## 43 0 67.9 0 9 8.12 9 0.1
## 44 1043 41.6 79 7 8.90 7 26.6
## 45 1678 16.1 15 46 4.14 5 0.2
## 46 4 55.6 10 88 NA 9 0.1
## 47 0 4.2 0 91 4.40 9 0.3
## 48 35 28.8 12 8 3.36 8 1.2
## 49 0 46.4 0 94 7.47 9 0.1
## 50 33711 21.1 312 79 4.33 8 1.1
## 51 251 25.4 85 79 5.70 8 6.3
## 52 43 25.6 12 8 1.19 8 1.2
## 53 1 18.0 45 7 4.86 7 0.5
## 54 18363 12.8 41 71 4.98 8 5.2
## 55 22 52.6 0 9 9.64 9 0.1
## 56 1847 16.9 104 77 4.24 8 10.3
## 57 31 26.9 7 89 6.96 9 34.6
## 58 0 37.8 1 91 5.97 9 2.1
## 59 0 43.8 0 93 6.42 9 0.1
## 60 8 58.6 1 8 1.90 8 0.1
## 61 34 58.5 34 9 5.81 9 0.1
## 62 1313 16.3 119 79 11.20 8 8.0
## 63 27 52.1 1 92 1.50 9 0.1
## 64 0 5.2 0 91 3.87 9 0.1
## 65 3761 12.4 33 59 5.70 6 2.2
## 66 336 18.0 6 84 3.61 8 2.0
## 67 48 26.8 81 79 5.81 8 2.4
## 68 0 46.1 22 9 4.98 9 0.5
## 69 0 33.6 1 9 4.17 9 0.9
## 70 1250 24.5 4 17 NA 16 4.2
## 71 8257 19.0 78 4 NA 4 0.9
## 72 95 18.9 89 9 3.97 9 4.3
## 73 66 6.9 0 86 7.71 9 0.1
## 74 0 48.6 3 9 7.30 9 0.3
## 75 466 13.8 120 5 8.79 5 0.1
## 76 29 17.2 152 4 4.71 4 2.5
## 77 8282 14.9 332 42 1.45 4 2.5
## 78 12598 18.5 117 71 6.87 8 16.2
## 79 0 17.3 2 7 3.56 7 0.1
## 80 6200 57.6 36 9 5.45 9 0.1
## 81 0 49.5 1 96 11.41 9 0.1
## 82 288 24.1 39 8 4.86 8 1.3
## 83 120 17.9 79 51 3.00 4 3.6
## 84 0 61.8 2 9 7.24 9 0.1
## 85 188 14.3 21 8 4.48 8 1.1
## 86 0 17.6 2 7 2.86 7 0.1
## 87 150 14.4 80 86 5.70 9 25.1
## 88 373 61.9 1 75 8.90 8 0.1
## 89 321 23.5 4 3 3.73 3 5.7
## 90 26 52.3 9 83 3.28 8 0.1
## 91 0 55.1 4 94 1.10 9 0.1
## 92 8072 15.3 332 3 2.67 3 2.4
## 93 65 58.9 0 82 7.47 9 0.1
## 94 2 21.5 0 9 4.81 9 0.8
## 95 1594 15.7 80 49 3.32 4 5.1
## 96 1149 2.7 84 4 NA 4 0.9
## 97 5039 23.6 12 68 4.70 7 1.3
## 98 11304 14.7 120 77 4.62 8 16.9
## 99 182485 16.9 329 6 3.14 6 2.0
## 100 2 59.2 1 91 7.49 9 0.1
## 101 3712 2.7 14 5 2.61 5 6.8
## 102 62 29.4 12 8 3.63 8 1.1
## 103 1660 12.3 404 55 4.36 3 5.0
## 104 0 41.3 0 89 5.64 9 0.1
## 105 210 2.5 39 73 4.73 7 2.1
## 106 605 23.3 93 79 4.75 8 7.4
## 107 44258 14.9 1800 69 4.34 7 0.3
## 108 0 56.3 1 81 8.90 8 0.1
## 109 1196 16.8 155 4 4.41 4 2.4
## 110 65 59.6 0 82 7.58 9 0.1
## 111 0 2.5 4 52 2.13 4 5.3
## 112 10 18.1 53 65 3.14 6 2.8
## 113 190 19.8 65 9 1.92 9 0.5
## 114 2 19.0 42 71 3.46 7 0.4
## 115 60 21.8 62 81 3.96 8 3.2
## 116 7408 16.9 58 52 3.65 5 3.0
## 117 2362 18.6 145 91 6.86 9 9.4
## 118 108 58.2 2 9 8.80 9 0.1
## 119 0 41.1 0 9 6.47 9 0.2
## 120 212 27.9 45 71 5.12 7 26.8
## 121 12074 13.4 47 8 5.82 8 0.2
## 122 0 58.2 10 76 3.98 5 0.1
## 123 0 38.5 24 6 4.41 6 3.9
## 124 12008 19.4 80 3 NA 3 0.9
## 125 3362 17.4 25 9 5.89 9 0.2
## 126 0 6.6 0 9 8.86 9 0.1
## 127 0 38.4 0 91 6.10 9 0.2
## 128 73 13.5 342 54 4.23 4 4.1
## 129 460 13.1 10 92 4.20 9 1.9
## GDP Population thinness..1.19.years thinness.5.9.years
## 1 1476.47887 34385963 NA NA
## 2 63.63628 191897 1.2 1.1
## 3 229.71472 99789 0.1 0.1
## 4 168.64825 326123 8.3 8.3
## 5 NA NA 7.6 7.3
## 6 3542.13589 1819 0.2 0.1
## 7 29986.29150 NA 4.8 4.5
## 8 119.74329 14261494 12.6 12.6
## 9 1577.45718 18294611 6.5 6.3
## 10 2284.37858 146 0.1 0.1
## 11 278.55573 1626932 8.6 8.5
## 12 6871.89768 3321245 1.8 1.7
## 13 458.46517 439737 6.7 6.5
## 14 1353.93482 193956 1.7 1.6
## 15 NA 23565413 5.6 5.4
## 16 544.56653 583211 7.6 7.6
## 17 5886.82789 4159914 0.3 0.2
## 18 373.28155 2446782 8.6 8.5
## 19 12593.73740 393986 1.9 1.8
## 20 1953.97670 1334788 5.9 6.2
## 21 55.47626 949457 4.3 4.3
## 22 482.14994 43984 8.9 8.8
## 23 243.32682 8149 11.3 11.0
## 24 NA NA 7.0 6.9
## 25 178.92799 3375838 8.1 8.1
## 26 216.17275 82573 7.6 7.7
## 27 NA NA 2.8 3.0
## 28 741.77712 49869 13.1 13.4
## 29 26.63947 511177 9.2 9.1
## 30 NA NA 11.1 1.9
## 31 3569.75727 45761 2.4 2.5
## 32 NA NA 7.7 7.6
## 33 192.59733 1129424 8.5 8.4
## 34 5841.41122 5547683 1.1 0.9
## 35 16874.31232 NA 0.3 0.3
## 36 NA NA 7.8 7.6
## 37 1268.88456 443716 9.4 9.3
## 38 2878.33837 11716359 1.0 9.7
## 39 6911.13614 442958 1.9 1.8
## 40 814.54640 171161 3.9 3.9
## 41 437.44672 1323142 8.6 8.6
## 42 412.15176 28679565 NA NA
## 43 796.79376 8446 0.2 0.2
## 44 2518.39826 45855483 14.5 17.1
## 45 NA NA 9.7 9.8
## 46 63.34326 31376671 1.1 1.1
## 47 21188.11857 1315372 6.1 6.4
## 48 1364.28374 383239 8.3 8.1
## 49 1272.44825 52779 1.2 1.2
## 50 NA NA 9.7 9.5
## 51 123.19538 19432541 6.3 6.3
## 52 415.36196 4181563 7.0 6.9
## 53 412.73934 2115164 7.6 7.5
## 54 135.99845 6476 9.0 8.9
## 55 4697.89732 3746561 2.7 2.7
## 56 697.66385 37525 8.5 8.4
## 57 781.51459 1933728 9.7 9.7
## 58 986.79582 751857 5.8 5.6
## 59 146.93113 49294 1.2 1.2
## 60 5253.12260 3359859 4.9 4.7
## 61 834.86916 6876345 5.0 4.8
## 62 594.99726 33915133 6.0 6.0
## 63 NA NA 2.7 2.9
## 64 276.13380 811223 4.3 4.0
## 65 321.22634 1242473 11.6 11.8
## 66 NA NA 1.2 1.2
## 67 NA NA 5.8 5.7
## 68 1981.24365 26261363 1.4 1.4
## 69 643.94726 1267984 6.7 7.2
## 70 1347.31257 1175389 8.4 8.3
## 71 NA NA 7.7 7.5
## 72 967.34773 4135152 8.2 8.0
## 73 21913.78170 NA 0.3 0.3
## 74 2632.79942 6775 1.9 1.8
## 75 219.14135 24118979 19.5 19.7
## 76 141.86844 18865716 1.2 1.1
## 77 NA NA 12.4 12.3
## 78 369.15454 29237 3.9 3.8
## 79 375.85286 542357 7.9 7.9
## 80 7384.35466 679346 5.0 4.9
## 81 NA NA 2.9 3.1
## 82 837.95510 972916 7.4 7.3
## 83 973.47257 1275135 9.0 8.9
## 84 15431.92930 1739746 0.8 0.8
## 85 539.87915 13474489 11.4 11.6
## 86 395.93194 555888 7.8 7.8
## 87 146.76154 11695863 7.9 7.7
## 88 614.27112 486466 4.7 4.6
## 89 2246.99380 183746 8.6 8.6
## 90 NA 2118834 6.4 6.1
## 91 23718.74670 8221158 1.2 1.2
## 92 NA NA 12.2 12.1
## 93 13641.12720 NA 0.3 0.3
## 94 1239.37785 43579 9.6 9.5
## 95 712.18477 1421597 1.3 1.2
## 96 NA NA 7.3 7.1
## 97 62.54729 342823 1.0 9.8
## 98 41.77636 32321482 9.0 9.0
## 99 NA NA 11.5 11.3
## 100 18431.15696 657 1.1 1.1
## 101 NA NA 9.1 8.8
## 102 145.57838 394617 8.1 7.9
## 103 123.87626 66537331 11.9 11.8
## 104 818.44262 458324 1.3 1.3
## 105 61.79998 7982225 8.7 8.6
## 106 952.18725 1742795 6.9 7.0
## 107 991.48463 119714696 27.0 27.9
## 108 11685.97983 3838462 1.9 1.9
## 109 779.46836 1823369 1.4 1.3
## 110 13882.85683 NA 0.3 0.3
## 111 12732.27590 792217 9.7 9.6
## 112 386.32883 949229 9.5 9.5
## 113 987.73658 5155896 13.1 13.3
## 114 443.96110 22346573 7.4 7.3
## 115 423.19364 2986536 8.4 8.3
## 116 315.83983 8971139 1.1 1.1
## 117 NA NA 7.6 7.5
## 118 2169.92100 19153 0.7 0.7
## 119 1458.87960 1321618 6.0 6.4
## 120 414.79623 13124267 8.6 8.6
## 121 287.41560 2539449 17.8 18.4
## 122 NA NA 1.6 1.5
## 123 465.31188 926344 4.4 4.4
## 124 NA NA 7.6 7.4
## 125 681.79259 27649925 16.3 16.7
## 126 52473.11356 327386 1.0 0.9
## 127 NA NA 4.4 4.4
## 128 135.76239 7462445 11.5 11.3
## 129 21.76880 3614639 9.9 9.9
## Income.composition.of.resources Schooling
## 1 0.461 7.0
## 2 0.440 10.5
## 3 0.683 13.7
## 4 0.372 10.1
## 5 0.581 11.1
## 6 NA 0.0
## 7 0.808 13.0
## 8 0.466 9.0
## 9 0.624 11.0
## 10 0.693 14.6
## 11 0.456 8.2
## 12 0.738 14.0
## 13 0.426 9.9
## 14 0.000 10.2
## 15 0.603 8.6
## 16 0.000 9.2
## 17 0.889 17.5
## 18 0.489 7.9
## 19 0.780 13.0
## 20 0.774 12.6
## 21 0.455 8.3
## 22 0.404 5.1
## 23 0.362 7.1
## 24 NA NA
## 25 0.377 10.0
## 26 0.318 6.6
## 27 NA NA
## 28 0.504 8.5
## 29 0.426 9.4
## 30 NA NA
## 31 0.734 14.9
## 32 NA NA
## 33 0.582 9.2
## 34 0.906 16.8
## 35 0.873 17.5
## 36 NA NA
## 37 0.562 11.0
## 38 0.679 11.7
## 39 0.740 12.9
## 40 0.490 9.1
## 41 0.371 7.9
## 42 0.403 5.6
## 43 0.000 10.0
## 44 0.620 12.9
## 45 0.509 9.0
## 46 0.737 13.4
## 47 0.767 12.4
## 48 0.491 7.8
## 49 0.492 9.3
## 50 NA NA
## 51 0.473 9.2
## 52 0.416 9.6
## 53 0.503 10.2
## 54 0.268 4.5
## 55 0.716 13.3
## 56 0.483 9.7
## 57 0.439 10.7
## 58 0.611 11.1
## 59 0.482 9.0
## 60 0.000 15.0
## 61 0.687 11.9
## 62 0.473 10.9
## 63 NA NA
## 64 0.681 13.1
## 65 0.412 7.6
## 66 0.377 6.5
## 67 NA NA
## 68 0.677 13.4
## 69 0.709 11.7
## 70 0.582 9.2
## 71 NA NA
## 72 0.523 11.1
## 73 0.881 18.2
## 74 0.636 12.4
## 75 0.381 6.8
## 76 0.415 6.4
## 77 NA NA
## 78 0.341 7.3
## 79 0.000 8.2
## 80 0.681 11.9
## 81 NA NA
## 82 0.458 10.0
## 83 0.381 7.3
## 84 0.826 15.5
## 85 0.483 10.1
## 86 0.000 8.5
## 87 0.387 10.1
## 88 0.731 12.9
## 89 0.586 9.2
## 90 0.650 11.7
## 91 0.855 16.2
## 92 NA NA
## 93 0.864 17.2
## 94 0.000 11.3
## 95 0.303 5.5
## 96 NA NA
## 97 0.451 6.7
## 98 0.447 8.4
## 99 NA NA
## 100 0.855 15.3
## 101 0.492 9.4
## 102 0.501 8.2
## 103 0.000 3.9
## 104 0.459 8.1
## 105 0.430 8.5
## 106 0.456 8.3
## 107 0.556 10.2
## 108 0.773 12.9
## 109 0.406 5.9
## 110 0.868 17.4
## 111 0.569 9.0
## 112 0.325 5.1
## 113 0.515 8.8
## 114 0.506 10.2
## 115 0.491 7.7
## 116 0.322 5.1
## 117 NA NA
## 118 0.897 20.4
## 119 0.773 12.5
## 120 0.408 9.5
## 121 0.463 9.3
## 122 0.745 13.4
## 123 0.452 8.2
## 124 NA NA
## 125 0.538 12.3
## 126 0.915 19.0
## 127 0.684 12.4
## 128 0.310 5.4
## 129 0.000 4.4train %>% filter(Country == "Burundi")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Burundi 2008 Developing 55.3 35 23
## 2 Burundi 2010 Developing 56.8 33 23
## 3 Burundi 2011 Developing 57.4 321 22
## 4 Burundi 2002 Developing 51.5 387 24
## 5 Burundi 2013 Developing 58.6 33 22
## 6 Burundi 2000 Developing 58.0 386 25
## 7 Burundi 2012 Developing 58.0 312 22
## 8 Burundi 2007 Developing 54.8 355 24
## 9 Burundi 2006 Developing 54.1 361 24
## 10 Burundi 2015 Developing 59.6 288 21
## 11 Burundi 2001 Developing 51.3 385 25
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 4.33 15.994152 92 173 15.2 35
## 2 4.16 31.141876 96 495 16.1 34
## 3 4.16 3.595980 96 129 16.6 33
## 4 5.98 9.660010 NA 1016 13.3 39
## 5 0.01 40.151285 96 0 17.6 32
## 6 6.61 9.696689 NA 18363 12.8 41
## 7 0.01 38.731705 96 49 17.1 33
## 8 4.54 1.726595 99 43 14.8 36
## 9 4.50 21.249153 92 784 14.5 36
## 10 NA 0.000000 94 9 18.7 31
## 11 6.09 10.619176 NA 0 13.0 40
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 89 7.86 92 2.9 196.24726 8212264
## 2 94 8.82 96 1.9 231.19433 876693
## 3 95 8.58 96 1.5 26.47997 94358
## 4 74 5.15 81 5.2 122.43359 6741569
## 5 96 8.30 96 1.0 282.75553 96186
## 6 71 4.98 8 5.2 135.99845 6476
## 7 96 8.21 96 1.2 265.28565 931971
## 8 93 1.30 99 3.4 17.79995 7939573
## 9 88 11.49 92 3.8 165.87942 7675338
## 10 94 NA 94 0.7 33.68122 119927
## 11 72 4.96 81 5.3 133.74277 6555829
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 7.9 7.9 0.319
## 2 7.7 7.7 0.361
## 3 7.6 7.6 0.385
## 4 8.7 8.7 0.268
## 5 7.4 7.4 0.398
## 6 9.0 8.9 0.268
## 7 7.5 7.5 0.393
## 8 8.0 8.0 0.309
## 9 8.1 8.2 0.290
## 10 7.3 7.2 0.406
## 11 8.8 8.8 0.268
## Schooling
## 1 7.9
## 2 9.3
## 3 9.9
## 4 4.4
## 5 10.5
## 6 4.5
## 7 10.3
## 8 7.2
## 9 5.9
## 10 10.6
## 11 4.5train %>% filter(Country == "Democratic Republic of the Congo")## Country Year Status Life.expectancy
## 1 Democratic Republic of the Congo 2015 Developing 59.8
## 2 Democratic Republic of the Congo 2007 Developing 55.7
## 3 Democratic Republic of the Congo 2014 Developing 59.3
## 4 Democratic Republic of the Congo 2000 Developing 51.3
## 5 Democratic Republic of the Congo 2012 Developing 58.3
## 6 Democratic Republic of the Congo 2009 Developing 56.7
## 7 Democratic Republic of the Congo 2001 Developing 51.8
## 8 Democratic Republic of the Congo 2006 Developing 55.0
## 9 Democratic Republic of the Congo 2005 Developing 54.3
## 10 Democratic Republic of the Congo 2004 Developing 53.5
## 11 Democratic Republic of the Congo 2013 Developing 58.8
## 12 Democratic Republic of the Congo 2002 Developing 52.1
## 13 Democratic Republic of the Congo 2008 Developing 56.3
## Adult.Mortality infant.deaths Alcohol percentage.expenditure Hepatitis.B
## 1 258 236 NA 0 81
## 2 299 236 1.52 0 7
## 3 266 237 0.01 0 8
## 4 346 226 1.98 0 NA
## 5 277 239 0.01 0 75
## 6 292 238 2.13 0 72
## 7 34 227 1.90 0 NA
## 8 36 235 1.53 0 NA
## 9 314 233 1.43 0 NA
## 10 323 232 1.44 0 NA
## 11 272 238 0.01 0 74
## 12 341 229 1.85 0 NA
## 13 295 237 2.09 0 65
## Measles BMI under.five.deaths Polio Total.expenditure Diphtheria HIV.AIDS
## 1 5020 21.6 308 78 NA 81 1.1
## 2 55577 17.8 326 72 3.61 7 1.9
## 3 33711 21.1 312 79 4.33 8 1.1
## 4 8282 14.9 332 42 1.45 4 2.5
## 5 72029 2.1 317 76 3.77 75 1.5
## 6 57 18.6 323 78 5.61 72 1.7
## 7 8072 15.3 332 3 2.67 3 2.4
## 8 80123 17.3 327 62 3.39 62 2.0
## 9 182485 16.9 329 6 3.14 6 2.0
## 10 44934 16.5 330 52 3.34 54 2.1
## 11 88381 2.6 314 74 3.89 74 1.2
## 12 30466 15.7 331 4 2.59 38 2.4
## 13 12461 18.2 324 64 4.46 65 1.8
## GDP Population thinness..1.19.years thinness.5.9.years
## 1 NA NA 9.5 9.3
## 2 NA NA 11.1 1.9
## 3 NA NA 9.7 9.5
## 4 NA NA 12.4 12.3
## 5 NA NA 1.0 9.8
## 6 NA NA 1.6 1.4
## 7 NA NA 12.2 12.1
## 8 NA NA 11.3 11.1
## 9 NA NA 11.5 11.3
## 10 NA NA 11.7 11.5
## 11 NA NA 9.9 9.6
## 12 NA NA 12.1 11.9
## 13 NA NA 1.8 1.7
## Income.composition.of.resources Schooling
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## 7 NA NA
## 8 NA NA
## 9 NA NA
## 10 NA NA
## 11 NA NA
## 12 NA NA
## 13 NA NAtrain %>% filter(Country == "Liberia")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Liberia 2005 Developing 55.3 316 12
## 2 Liberia 2014 Developing 58.1 329 8
## 3 Liberia 2006 Developing 56.7 32 11
## 4 Liberia 2008 Developing 58.6 281 10
## 5 Liberia 2012 Developing 67.0 261 9
## 6 Liberia 2013 Developing 61.1 258 9
## 7 Liberia 2007 Developing 57.9 286 10
## 8 Liberia 2001 Developing 51.5 333 14
## 9 Liberia 2000 Developing 51.9 39 14
## 10 Liberia 2002 Developing 56.0 371 13
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 4.19 22.396488 NA 8 22.0 16
## 2 0.01 54.373970 5 34 26.7 11
## 3 4.05 15.799342 NA 20 22.4 15
## 4 3.88 40.033441 64 1 23.4 14
## 5 0.01 48.098915 8 43 25.6 12
## 6 0.01 45.048925 76 0 26.1 11
## 7 4.03 3.686899 NA 1 22.9 14
## 8 4.40 16.721429 NA 1379 2.4 20
## 9 4.46 12.197097 NA 5977 2.2 20
## 10 4.27 10.424369 NA 131 2.7 19
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 66 8.40 6 3.1 168.64825 326123
## 2 49 1.40 5 0.9 458.46517 439737
## 3 66 1.90 6 3.0 178.92799 3375838
## 4 79 11.83 75 2.4 232.61732 3662993
## 5 8 1.19 8 1.2 415.36196 4181563
## 6 75 9.25 76 1.1 454.12222 4286291
## 7 67 1.24 65 2.8 21.37333 3512932
## 8 54 6.41 42 3.1 174.18155 2991132
## 9 56 5.91 46 3.1 183.41500 2884522
## 10 51 5.43 39 3.1 177.28519 362863
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 8.3 8.3 0.372
## 2 6.7 6.5 0.426
## 3 8.1 8.1 0.377
## 4 7.7 7.6 0.394
## 5 7.0 6.9 0.416
## 6 6.8 6.7 0.419
## 7 7.9 7.8 0.383
## 8 9.0 9.0 0.386
## 9 9.2 9.2 0.338
## 10 8.8 8.9 0.376
## Schooling
## 1 10.1
## 2 9.9
## 3 10.0
## 4 9.8
## 5 9.6
## 6 9.8
## 7 9.9
## 8 10.5
## 9 8.7
## 10 10.4train %>% filter(Country == "Somalia")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Somalia 2015 Developing 55.0 312 50
## 2 Somalia 2002 Developing 58.0 348 47
## 3 Somalia 2009 Developing 52.2 335 52
## 4 Somalia 2003 Developing 51.1 344 48
## 5 Somalia 2000 Developing 55.0 355 45
## 6 Somalia 2011 Developing 53.1 329 51
## 7 Somalia 2010 Developing 52.4 336 52
## 8 Somalia 2007 Developing 51.5 34 52
## 9 Somalia 2012 Developing 53.1 336 51
## 10 Somalia 2005 Developing 51.6 334 50
## 11 Somalia 2006 Developing 51.5 337 51
## 12 Somalia 2013 Developing 54.2 318 51
## 13 Somalia 2001 Developing 57.0 352 46
## 14 Somalia 2004 Developing 51.2 341 49
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 NA 0 42 7497 24.3 80
## 2 0.01 0 NA 9559 18.6 77
## 3 0.01 0 NA 13 21.5 84
## 4 0.01 0 NA 8257 19.0 78
## 5 0.01 0 NA 3965 17.8 74
## 6 0.01 0 NA 17298 22.4 82
## 7 0.01 0 NA 115 22.0 83
## 8 0.01 0 NA 1149 2.7 84
## 9 0.01 0 NA 9983 22.9 82
## 10 0.01 0 NA 0 19.8 82
## 11 0.01 0 NA 7 2.2 83
## 12 0.01 0 42 3173 23.3 81
## 13 0.01 0 NA 3571 18.2 75
## 14 0.01 0 NA 12008 19.4 80
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 47 NA 42 0.7 426.98537 NA
## 2 4 NA 4 0.9 NA NA
## 3 41 NA 42 0.8 NA NA
## 4 4 NA 4 0.9 NA NA
## 5 37 NA 33 0.8 NA NA
## 6 49 NA 41 0.8 NA NA
## 7 49 NA 45 0.8 NA NA
## 8 4 NA 4 0.9 NA NA
## 9 47 NA 42 0.8 NA NA
## 10 35 NA 35 0.9 NA NA
## 11 26 NA 26 0.9 NA NA
## 12 47 NA 42 0.8 47.54324 NA
## 13 33 NA 33 0.8 NA NA
## 14 3 NA 3 0.9 NA NA
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 6.6 6.4 NA
## 2 7.8 7.6 NA
## 3 7.1 6.9 NA
## 4 7.7 7.5 NA
## 5 8.0 7.9 NA
## 6 6.9 6.7 NA
## 7 7.0 6.8 NA
## 8 7.3 7.1 NA
## 9 6.8 6.7 NA
## 10 7.5 7.3 NA
## 11 7.4 7.2 NA
## 12 6.8 6.6 NA
## 13 7.9 7.7 NA
## 14 7.6 7.4 NA
## Schooling
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 NA
## 10 NA
## 11 NA
## 12 NA
## 13 NA
## 14 NAtrain %>% filter(Country == "Uruguay")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Uruguay 2004 Developing 75.4 122 1
## 2 Uruguay 2011 Developing 77.0 111 0
## 3 Uruguay 2000 Developing 75.1 131 1
## 4 Uruguay 2007 Developing 75.4 124 1
## 5 Uruguay 2015 Developing 77.0 116 0
## 6 Uruguay 2003 Developing 75.4 121 1
## 7 Uruguay 2010 Developing 76.3 118 0
## 8 Uruguay 2013 Developing 76.8 117 0
## 9 Uruguay 2001 Developing 75.2 123 1
## 10 Uruguay 2012 Developing 76.5 118 0
## 11 Uruguay 2002 Developing 75.4 124 1
## 12 Uruguay 2009 Developing 76.6 118 0
## 13 Uruguay 2008 Developing 76.4 119 1
## 14 Uruguay 2005 Developing 75.7 123 1
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 5.66 882.35636 94 0 57.7 1
## 2 5.97 417.91174 95 0 61.8 1
## 3 6.65 645.95838 92 0 55.0 1
## 4 6.67 14.47306 94 0 59.5 1
## 5 NA 0.00000 95 0 64.0 0
## 6 5.11 160.84001 91 0 57.0 1
## 7 6.21 2331.53280 95 0 61.2 1
## 8 5.82 482.80394 94 0 62.9 0
## 9 6.48 421.48043 94 0 55.7 1
## 10 5.77 339.71905 95 0 62.3 0
## 11 5.86 27.46881 95 0 56.3 1
## 12 6.67 1871.73656 95 0 6.7 1
## 13 6.76 24.73142 94 0 6.1 1
## 14 6.35 152.54484 96 0 58.3 1
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 95 11.59 94 0.1 4117.38853 332496
## 2 95 8.55 95 0.1 14166.49980 3385624
## 3 92 7.82 9 0.1 6871.89768 3321245
## 4 94 8.23 94 0.1 79.69746 3339741
## 5 95 NA 95 0.1 15524.84247 3431552
## 6 91 6.52 91 0.1 3622.52284 3325637
## 7 95 8.63 95 0.1 11938.21200 3374415
## 8 94 8.68 94 0.1 16881.25680 3485
## 9 94 7.46 94 0.1 6281.37747 332713
## 10 95 8.74 95 0.1 1592.68190 3396777
## 11 93 7.18 95 0.1 488.76885 3327773
## 12 95 8.78 95 0.1 9415.17386 3362755
## 13 94 8.17 94 0.1 962.31216 335824
## 14 96 11.15 96 0.1 522.95112 3325612
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 1.7 1.6 0.750
## 2 1.5 1.5 0.780
## 3 1.8 1.7 0.738
## 4 1.6 1.5 0.760
## 5 1.5 1.4 0.794
## 6 1.7 1.6 0.747
## 7 1.5 1.5 0.777
## 8 1.5 1.4 0.788
## 9 1.8 1.7 0.742
## 10 1.5 1.5 0.784
## 11 1.7 1.7 0.746
## 12 1.5 1.5 0.774
## 13 1.6 1.5 0.770
## 14 1.6 1.6 0.753
## Schooling
## 1 15.5
## 2 15.5
## 3 14.0
## 4 15.3
## 5 15.5
## 6 15.0
## 7 15.6
## 8 15.5
## 9 14.2
## 10 15.5
## 11 14.7
## 12 15.5
## 13 15.7
## 14 15.5Again, Diphtheria appears to have the same reporting errors.
Now, check for Income.composition.of.resources errors:
train %>% filter(Income.composition.of.resources < .1)## Country Year Status Life.expectancy
## 1 Bhutan 2010 Developing 67.9
## 2 Burkina Faso 2003 Developing 51.6
## 3 Turkmenistan 2008 Developing 64.5
## 4 Turkmenistan 2005 Developing 63.3
## 5 Lebanon 2005 Developing 73.9
## 6 The former Yugoslav republic of Macedonia 2005 Developing 73.6
## 7 Vanuatu 2002 Developing 69.3
## 8 Bhutan 2007 Developing 66.5
## 9 Comoros 2003 Developing 59.6
## 10 Grenada 2001 Developing 77.0
## 11 Eritrea 2000 Developing 45.3
## 12 Antigua and Barbuda 2004 Developing 74.4
## 13 South Sudan 2003 Developing 58.0
## 14 Vanuatu 2003 Developing 69.4
## 15 Lebanon 2003 Developing 73.5
## 16 South Sudan 2004 Developing 51.4
## 17 Montenegro 2001 Developing 73.3
## 18 Suriname 2000 Developing 67.4
## 19 Turkmenistan 2009 Developing 65.6
## 20 Bhutan 2001 Developing 61.7
## 21 Antigua and Barbuda 2001 Developing 73.8
## 22 Comoros 2002 Developing 59.5
## 23 Bosnia and Herzegovina 2005 Developing 75.0
## 24 Bosnia and Herzegovina 2001 Developing 74.9
## 25 Vanuatu 2004 Developing 69.6
## 26 Kiribati 2000 Developing 64.1
## 27 Suriname 2001 Developing 67.7
## 28 Antigua and Barbuda 2003 Developing 74.2
## 29 Bhutan 2000 Developing 62.0
## 30 Grenada 2009 Developing 72.4
## 31 South Sudan 2007 Developing 53.1
## 32 Nigeria 2003 Developing 48.1
## 33 South Sudan 2008 Developing 53.6
## 34 Turkmenistan 2010 Developing 65.8
## 35 Oman 2000 Developing 72.6
## 36 Turkmenistan 2002 Developing 63.3
## 37 Vanuatu 2000 Developing 69.0
## 38 Chad 2000 Developing 47.6
## 39 Lebanon 2001 Developing 73.0
## 40 Grenada 2002 Developing 79.0
## 41 Eritrea 2004 Developing 59.1
## 42 Uzbekistan 2000 Developing 67.1
## 43 Eritrea 2001 Developing 58.1
## 44 South Sudan 2001 Developing 49.6
## 45 South Sudan 2000 Developing 48.9
## 46 Nigeria 2000 Developing 47.1
## 47 Bosnia and Herzegovina 2004 Developing 75.5
## 48 Antigua and Barbuda 2000 Developing 73.6
## 49 Grenada 2006 Developing 71.7
## 50 Comoros 2000 Developing 59.5
## 51 Kiribati 2004 Developing 64.8
## 52 Grenada 2004 Developing 73.0
## 53 Antigua and Barbuda 2005 Developing 74.6
## 54 Bhutan 2008 Developing 67.0
## 55 Bhutan 2005 Developing 65.0
## 56 Guinea-Bissau 2001 Developing 52.5
## 57 Burkina Faso 2001 Developing 56.0
## 58 South Sudan 2006 Developing 52.5
## 59 The former Yugoslav republic of Macedonia 2001 Developing 73.1
## 60 Comoros 2001 Developing 59.5
## 61 Suriname 2002 Developing 67.9
## 62 Lebanon 2002 Developing 73.2
## 63 Lebanon 2000 Developing 72.7
## 64 Burkina Faso 2004 Developing 52.4
## 65 Cabo Verde 2000 Developing 69.9
## 66 Grenada 2008 Developing 72.1
## 67 Equatorial Guinea 2000 Developing 52.7
## 68 Vanuatu 2005 Developing 69.9
## 69 Turkmenistan 2003 Developing 63.4
## 70 Grenada 2000 Developing 74.0
## 71 The former Yugoslav republic of Macedonia 2002 Developing 72.8
## 72 Turkmenistan 2004 Developing 63.5
## 73 Grenada 2003 Developing 71.1
## 74 Ethiopia 2000 Developing 51.2
## 75 Bhutan 2004 Developing 64.2
## 76 Turkmenistan 2007 Developing 64.1
## 77 Turkmenistan 2001 Developing 64.0
## 78 The former Yugoslav republic of Macedonia 2004 Developing 73.5
## 79 Bhutan 2009 Developing 67.4
## 80 Bahamas 2000 Developing 72.6
## 81 Grenada 2005 Developing 71.5
## 82 Eritrea 2003 Developing 58.8
## 83 Montenegro 2002 Developing 73.4
## 84 Montenegro 2003 Developing 73.5
## 85 Eritrea 2005 Developing 59.4
## 86 Bosnia and Herzegovina 2000 Developing 74.6
## 87 Kiribati 2005 Developing 64.9
## 88 Guinea-Bissau 2000 Developing 52.1
## 89 Lebanon 2004 Developing 73.7
## 90 Kiribati 2001 Developing 64.3
## 91 Guinea-Bissau 2004 Developing 53.5
## 92 Micronesia (Federated States of) 2000 Developing 67.0
## 93 Eritrea 2002 Developing 58.5
## Adult.Mortality infant.deaths Alcohol percentage.expenditure Hepatitis.B
## 1 228 1 0.28 244.0391949 91
## 2 332 49 4.58 41.6095128 NA
## 3 235 6 2.40 34.2397942 96
## 4 248 6 2.85 2.1988858 99
## 5 11 1 1.94 630.0540723 77
## 6 12 0 1.75 0.0000000 53
## 7 176 0 1.24 171.1373611 66
## 8 238 1 0.16 283.8062360 95
## 9 271 2 0.26 45.0901084 28
## 10 178 0 9.61 81.1135595 96
## 11 593 7 0.83 0.7359404 NA
## 12 149 0 7.28 22.8629521 97
## 13 383 29 NA 0.0000000 NA
## 14 173 0 1.20 27.2983907 64
## 15 15 1 2.19 527.9176618 74
## 16 383 29 NA 0.0000000 NA
## 17 136 0 0.01 33.6698136 NA
## 18 224 0 4.29 268.1837972 NA
## 19 215 6 2.35 37.8846606 97
## 20 29 1 0.14 8.5740298 89
## 21 154 0 7.51 163.7676978 96
## 22 271 2 0.08 29.4189749 NA
## 23 12 0 4.56 45.7135426 93
## 24 113 0 3.85 143.2947487 NA
## 25 169 0 0.85 334.1673373 63
## 26 222 0 0.46 11.0754333 9
## 27 219 0 4.23 191.2135044 NA
## 28 151 0 7.16 1158.0652590 99
## 29 312 1 0.17 93.3587284 98
## 30 158 0 8.42 146.4384488 99
## 31 381 27 NA 0.0000000 NA
## 32 41 567 9.75 30.1955085 NA
## 33 377 27 NA 0.0000000 NA
## 34 211 7 2.48 385.3251640 96
## 35 138 1 0.38 62.8665751 99
## 36 229 7 2.33 130.3784829 96
## 37 18 0 1.21 21.9007523 7
## 38 44 41 0.25 21.5270162 NA
## 39 11 1 2.19 510.6035166 8
## 40 176 0 10.71 513.3465408 98
## 41 342 7 0.64 10.2609734 84
## 42 189 30 1.60 48.5094174 NA
## 43 345 7 0.61 5.5936195 NA
## 44 381 30 NA 0.0000000 NA
## 45 38 31 NA 0.0000000 NA
## 46 45 576 9.23 22.4817761 NA
## 47 99 0 4.25 3.4799189 36
## 48 156 0 7.27 1127.7434700 NA
## 49 167 0 9.06 662.2663687 91
## 50 272 1 0.09 35.0294862 NA
## 51 214 0 0.48 10.6242741 67
## 52 187 0 8.43 100.9658730 83
## 53 147 0 8.15 1455.6081860 99
## 54 234 1 0.21 302.6675790 96
## 55 254 1 0.73 145.5965445 95
## 56 32 5 2.55 0.8687085 NA
## 57 344 48 4.56 23.1016899 NA
## 58 383 28 NA 0.0000000 NA
## 59 126 0 3.27 0.0000000 NA
## 60 272 1 0.08 19.7174104 NA
## 61 221 0 4.41 250.7112373 NA
## 62 17 1 1.98 70.1320784 77
## 63 112 1 2.26 404.3879434 83
## 64 323 49 4.54 56.9610809 NA
## 65 155 0 3.49 122.5744699 NA
## 66 162 0 8.92 754.9597129 99
## 67 336 3 4.46 14.9545132 NA
## 68 165 0 0.88 337.2942846 61
## 69 231 7 2.88 179.6156482 97
## 70 182 0 9.40 676.5453878 NA
## 71 128 0 2.53 0.0000000 NA
## 72 238 6 2.86 186.1013972 96
## 73 173 0 9.75 77.9454329 97
## 74 391 253 0.88 11.5948177 NA
## 75 263 1 0.96 2.5866982 89
## 76 241 6 2.58 0.3586514 98
## 77 221 7 2.35 106.1807060 NA
## 78 12 0 2.07 0.0000000 NA
## 79 232 1 0.17 27.4890705 93
## 80 192 0 12.15 0.0000000 NA
## 81 169 0 8.80 119.5548694 99
## 82 343 7 0.56 6.9139980 91
## 83 136 0 0.01 36.4802403 NA
## 84 134 0 0.01 495.0782963 NA
## 85 34 7 1.07 5.0646890 96
## 86 116 0 3.64 165.6168642 NA
## 87 213 0 0.60 111.7392134 5
## 88 3 5 2.84 6.6994187 NA
## 89 13 1 2.10 618.3614858 75
## 90 219 0 0.60 59.9718585 85
## 91 38 5 2.58 13.5299956 NA
## 92 185 0 2.23 0.0000000 87
## 93 343 7 0.83 0.7031322 86
## Measles BMI under.five.deaths Polio Total.expenditure Diphtheria HIV.AIDS
## 1 21 2.3 1 92 5.17 91 0.5
## 2 2946 13.3 92 83 5.61 79 2.9
## 3 0 42.7 8 96 1.93 96 0.1
## 4 0 4.7 8 99 3.51 99 0.1
## 5 618 6.8 1 74 8.42 77 0.1
## 6 5 54.9 0 98 7.95 97 0.1
## 7 101 42.6 0 67 3.52 7 0.1
## 8 11 18.0 1 93 5.88 95 0.3
## 9 0 18.4 2 8 3.65 8 0.1
## 10 0 38.2 0 96 7.67 96 0.1
## 11 789 12.6 10 82 4.43 81 1.9
## 12 0 4.8 0 97 4.21 97 0.1
## 13 0 NA 46 NA NA NA 3.5
## 14 165 43.3 0 67 4.20 69 0.1
## 15 526 59.7 1 74 9.30 74 0.1
## 16 0 NA 45 NA NA NA 3.8
## 17 0 52.7 0 NA 8.23 NA 0.1
## 18 0 47.6 0 7 9.65 71 0.4
## 19 0 43.4 8 97 1.88 96 0.1
## 20 756 14.4 1 88 5.91 88 0.1
## 21 0 38.9 0 99 4.48 97 0.1
## 22 0 18.0 2 98 3.39 89 0.1
## 23 23 5.5 0 95 8.50 93 0.1
## 24 0 48.2 0 92 7.16 91 0.1
## 25 0 44.1 0 67 4.12 69 0.1
## 26 0 67.9 0 9 8.12 9 0.1
## 27 0 48.3 0 65 8.38 68 1.8
## 28 0 4.1 0 99 4.53 99 0.1
## 29 418 13.9 1 98 6.91 92 0.1
## 30 0 43.1 0 99 6.24 99 0.1
## 31 0 NA 43 NA NA NA 4.2
## 32 141258 18.3 918 42 4.50 29 5.4
## 33 0 NA 42 NA NA NA 4.2
## 34 0 44.2 8 96 1.99 96 0.1
## 35 15 45.9 1 99 3.70 99 0.1
## 36 11 38.7 8 99 3.34 98 0.1
## 37 9 41.1 0 67 3.28 71 0.1
## 38 3546 13.9 74 3 6.28 36 4.6
## 39 8 58.6 1 8 1.90 8 0.1
## 40 0 38.8 0 98 6.67 98 0.1
## 41 24 13.6 10 98 3.14 98 1.8
## 42 80 34.8 36 99 5.29 99 0.1
## 43 204 12.8 10 89 3.95 86 2.0
## 44 0 NA 49 NA NA NA 3.0
## 45 0 NA 50 NA NA NA 2.7
## 46 212183 16.9 943 31 2.84 29 4.9
## 47 28 49.9 0 87 9.40 84 0.1
## 48 0 38.2 0 96 4.13 95 0.1
## 49 0 41.1 0 91 5.99 91 0.1
## 50 0 17.3 2 7 3.56 7 0.1
## 51 0 71.4 0 61 1.39 62 0.1
## 52 0 39.9 0 84 5.24 83 0.1
## 53 0 41.4 0 98 4.41 99 0.1
## 54 7 18.8 1 96 6.58 96 0.4
## 55 11 16.7 1 95 5.28 95 0.3
## 56 126 17.9 9 56 5.40 53 3.6
## 57 4174 12.5 93 62 4.85 62 3.6
## 58 0 NA 43 NA NA NA 4.1
## 59 27 53.2 0 91 8.18 91 0.1
## 60 0 17.6 2 7 2.86 7 0.1
## 61 0 49.0 0 74 7.14 73 1.6
## 62 36 59.1 1 77 1.50 77 0.1
## 63 5 57.9 1 83 1.86 83 0.1
## 64 77 13.7 91 83 6.45 79 2.5
## 65 2 21.5 0 9 4.81 9 0.8
## 66 0 42.4 0 99 5.76 99 0.1
## 67 0 18.3 4 41 2.73 34 1.9
## 68 3 44.9 0 67 3.87 68 0.1
## 69 1 39.4 8 66 3.85 83 0.1
## 70 0 37.7 0 97 6.62 97 0.1
## 71 19 53.6 0 97 9.10 96 0.1
## 72 1 4.0 8 98 4.30 97 0.1
## 73 0 39.4 0 98 5.89 97 0.1
## 74 1660 12.3 404 55 4.36 3 5.0
## 75 3 16.1 1 9 4.41 89 0.3
## 76 59 42.0 8 98 2.16 98 0.1
## 77 9 38.1 9 94 3.87 95 0.1
## 78 9 54.5 0 95 8.64 94 0.1
## 79 6 19.5 1 93 6.30 93 0.4
## 80 0 54.4 0 91 5.21 99 0.1
## 81 0 4.5 0 99 5.50 99 0.1
## 82 376 13.3 10 95 3.50 93 1.9
## 83 0 53.5 0 NA 8.33 NA 0.1
## 84 0 54.2 0 NA 8.91 NA 0.1
## 85 19 13.9 9 96 2.97 96 1.6
## 86 43 47.6 0 87 7.90 85 0.1
## 87 0 72.1 0 74 1.60 79 0.1
## 88 0 17.4 9 52 4.94 49 3.1
## 89 213 6.2 1 74 8.91 75 0.1
## 90 0 68.8 0 88 9.00 85 0.1
## 91 3526 19.6 8 69 5.41 64 5.0
## 92 0 61.5 0 85 7.88 85 0.1
## 93 460 13.1 10 92 4.20 9 1.9
## GDP Population thinness..1.19.years thinness.5.9.years
## 1 2178.92138 727641 16.6 17.3
## 2 332.34435 12654621 1.7 1.3
## 3 394.46767 4935762 3.2 3.3
## 4 174.51475 4754641 3.4 3.4
## 5 5339.44129 3986852 4.7 4.6
## 6 NA NA 2.5 2.6
## 7 1353.93482 193956 1.7 1.6
## 8 1741.14255 686958 17.3 18.1
## 9 544.56653 583211 7.6 7.6
## 10 519.95871 NA 4.2 4.2
## 11 28.19695 339281 1.2 1.1
## 12 1352.83740 NA 3.5 3.4
## 13 NA 751642 NA NA
## 14 158.52724 198964 1.6 1.6
## 15 5425.66970 371464 4.8 4.7
## 16 NA 7787655 NA NA
## 17 199.58396 67389 2.5 2.6
## 18 1888.61829 47239 3.6 3.6
## 19 436.45922 5795 3.2 3.3
## 20 87.93877 5896 18.9 19.6
## 21 9358.15416 NA 3.6 3.5
## 22 433.26915 569479 7.7 7.7
## 23 2968.41186 378153 2.9 2.9
## 24 1524.41222 3771284 3.2 3.2
## 25 1787.94723 24143 1.6 1.5
## 26 796.79376 8446 0.2 0.2
## 27 1598.77512 47774 3.6 3.5
## 28 9739.82556 NA 3.5 3.5
## 29 765.86324 573416 19.2 19.9
## 30 7395.88125 NA 3.8 3.8
## 31 NA 88568 NA NA
## 32 512.65719 131972533 13.5 13.6
## 33 1678.71186 9263136 NA NA
## 34 4439.23000 58721 3.2 3.3
## 35 861.18596 NA 7.2 6.9
## 36 967.91747 4612 3.5 3.5
## 37 1469.84915 18563 1.7 1.7
## 38 166.23179 8342559 11.5 11.4
## 39 5253.12260 3359859 4.9 4.7
## 40 5292.23238 NA 4.1 4.1
## 41 287.42222 3858623 9.6 9.6
## 42 558.22114 24654 3.4 3.4
## 43 215.13921 3497124 1.0 1.0
## 44 NA 6974442 NA NA
## 45 NA 67656 NA NA
## 46 379.11933 1223529 14.3 14.4
## 47 265.64266 3781287 3.0 3.0
## 48 9875.16174 NA 3.7 3.6
## 49 6764.72287 NA 3.9 3.9
## 50 375.85286 542357 7.9 7.9
## 51 113.62860 9542 0.2 0.2
## 52 5836.17763 NA 4.0 4.0
## 53 11371.93895 NA 3.5 3.4
## 54 1795.18137 795 17.1 17.8
## 55 1247.61392 656639 17.8 18.6
## 56 39.48675 1267512 1.0 1.0
## 57 235.49123 11944587 11.2 1.8
## 58 NA 8468152 NA NA
## 59 NA NA 2.8 2.8
## 60 395.93194 555888 7.8 7.8
## 61 2232.51324 48344 3.5 3.5
## 62 5436.59522 3522837 4.8 4.7
## 63 5334.93329 3235366 4.9 4.8
## 64 371.32387 133569 1.5 1.1
## 65 1239.37785 43579 9.6 9.5
## 66 7946.94435 NA 3.8 3.9
## 67 172.68491 614323 1.7 1.6
## 68 1886.43336 2937 1.6 1.5
## 69 1283.88598 4655741 3.5 3.4
## 70 5117.58992 NA 4.3 4.2
## 71 NA NA 2.7 2.7
## 72 1453.91717 473398 3.4 3.4
## 73 5773.73577 NA 4.0 4.1
## 74 123.87626 66537331 11.9 11.8
## 75 197.45788 64282 18.0 18.8
## 76 26.37143 487137 3.3 3.3
## 77 774.47634 45648 3.6 3.5
## 78 NA NA 2.6 2.6
## 79 177.23450 714458 16.8 17.5
## 80 NA NA 2.7 2.6
## 81 6754.51239 NA 3.9 4.0
## 82 232.79455 3738265 9.7 9.7
## 83 216.24327 69828 2.5 2.5
## 84 2789.17350 612267 2.4 2.4
## 85 276.75896 39697 9.4 9.5
## 86 1461.75520 376676 3.3 3.2
## 87 1214.55667 92325 0.2 0.2
## 88 297.75194 1243229 1.2 1.2
## 89 5424.22356 3863267 4.7 4.6
## 90 734.94925 85858 0.2 0.2
## 91 393.31382 135345 9.4 9.3
## 92 NA NA 0.3 0.3
## 93 21.76880 3614639 9.9 9.9
## Income.composition.of.resources Schooling
## 1 0 11.4
## 2 0 3.8
## 3 0 10.5
## 4 0 10.3
## 5 0 13.7
## 6 0 11.9
## 7 0 10.2
## 8 0 10.1
## 9 0 9.2
## 10 0 14.3
## 11 0 3.9
## 12 0 0.0
## 13 0 0.0
## 14 0 10.4
## 15 0 14.8
## 16 0 0.0
## 17 0 0.0
## 18 0 11.1
## 19 0 10.5
## 20 0 7.6
## 21 0 0.0
## 22 0 8.8
## 23 0 12.5
## 24 0 11.6
## 25 0 10.7
## 26 0 10.0
## 27 0 11.0
## 28 0 0.0
## 29 0 7.3
## 30 0 15.6
## 31 0 0.0
## 32 0 8.1
## 33 0 0.0
## 34 0 10.6
## 35 0 10.4
## 36 0 10.2
## 37 0 9.6
## 38 0 4.7
## 39 0 15.0
## 40 0 14.4
## 41 0 5.0
## 42 0 10.6
## 43 0 4.3
## 44 0 0.0
## 45 0 0.0
## 46 0 7.6
## 47 0 12.3
## 48 0 0.0
## 49 0 15.1
## 50 0 8.2
## 51 0 12.4
## 52 0 14.8
## 53 0 0.0
## 54 0 10.5
## 55 0 9.2
## 56 0 6.7
## 57 0 3.5
## 58 0 0.0
## 59 0 11.8
## 60 0 8.5
## 61 0 11.0
## 62 0 15.2
## 63 0 14.9
## 64 0 3.9
## 65 0 11.3
## 66 0 15.4
## 67 0 0.0
## 68 0 10.6
## 69 0 10.3
## 70 0 14.1
## 71 0 11.9
## 72 0 10.3
## 73 0 14.6
## 74 0 3.9
## 75 0 8.8
## 76 0 10.4
## 77 0 10.2
## 78 0 11.9
## 79 0 10.9
## 80 0 12.0
## 81 0 14.9
## 82 0 4.7
## 83 0 0.0
## 84 0 0.0
## 85 0 5.4
## 86 0 0.0
## 87 0 12.2
## 88 0 6.4
## 89 0 14.2
## 90 0 10.4
## 91 0 7.7
## 92 0 0.0
## 93 0 4.4train %>% filter(Country == "Bahamas")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Bahamas 2010 Developing 75.0 161 0
## 2 Bahamas 2011 Developing 75.0 162 0
## 3 Bahamas 2006 Developing 74.2 171 0
## 4 Bahamas 2015 Developing 76.1 147 0
## 5 Bahamas 2013 Developing 74.8 172 0
## 6 Bahamas 2001 Developing 72.9 189 0
## 7 Bahamas 2012 Developing 74.9 167 0
## 8 Bahamas 2009 Developing 74.6 168 0
## 9 Bahamas 2000 Developing 72.6 192 0
## 10 Bahamas 2007 Developing 74.4 167 0
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 9.19 0 98 0 61.3 0
## 2 9.34 0 95 0 62.0 0
## 3 11.07 0 96 0 58.7 0
## 4 NA 0 95 0 64.5 0
## 5 9.42 0 97 0 63.2 0
## 6 11.64 0 21 0 55.2 0
## 7 9.50 0 96 0 62.6 0
## 8 9.29 0 95 0 6.7 0
## 9 12.15 0 NA 0 54.4 0
## 10 10.75 0 93 0 59.4 0
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 97 7.44 99 0.2 NA NA
## 2 97 7.63 98 0.1 NA NA
## 3 94 6.93 95 0.1 NA NA
## 4 95 NA 95 0.1 NA NA
## 5 97 7.50 97 0.1 NA NA
## 6 98 5.15 99 0.2 NA NA
## 7 99 7.43 98 0.2 NA NA
## 8 97 7.43 96 0.1 NA NA
## 9 91 5.21 99 0.1 NA NA
## 10 95 7.80 95 0.1 NA NA
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 2.5 2.5 0.788
## 2 2.5 2.5 0.788
## 3 2.5 2.5 0.788
## 4 2.5 2.5 0.790
## 5 2.5 2.5 0.790
## 6 2.7 2.6 0.779
## 7 2.5 2.5 0.789
## 8 2.5 2.5 0.791
## 9 2.7 2.6 0.000
## 10 2.5 2.5 0.790
## Schooling
## 1 12.6
## 2 12.6
## 3 12.4
## 4 12.6
## 5 12.6
## 6 12.1
## 7 12.6
## 8 12.6
## 9 12.0
## 10 12.5train %>% filter(Country == "Comoros")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Comoros 2003 Developing 59.6 271 2
## 2 Comoros 2009 Developing 61.3 251 2
## 3 Comoros 2002 Developing 59.5 271 2
## 4 Comoros 2006 Developing 63.0 262 2
## 5 Comoros 2007 Developing 66.0 259 2
## 6 Comoros 2000 Developing 59.5 272 1
## 7 Comoros 2014 Developing 63.2 23 1
## 8 Comoros 2001 Developing 59.5 272 1
## 9 Comoros 2015 Developing 63.5 227 1
## 10 Comoros 2010 Developing 61.8 246 2
## 11 Comoros 2011 Developing 62.2 241 2
## 12 Comoros 2012 Developing 62.5 237 2
## 13 Comoros 2005 Developing 60.0 266 2
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 0.26 45.090108 28 0 18.4 2
## 2 0.17 56.989525 83 1 21.1 2
## 3 0.08 29.418975 NA 0 18.0 2
## 4 0.25 77.028396 69 85 19.6 2
## 5 0.16 9.087638 75 0 2.1 2
## 6 0.09 35.029486 NA 0 17.3 2
## 7 0.01 73.865849 88 0 23.7 2
## 8 0.08 19.717410 NA 0 17.6 2
## 9 NA 0.000000 91 0 24.2 2
## 10 0.15 47.304219 74 0 21.6 2
## 11 0.12 59.659650 83 3 22.1 2
## 12 0.01 78.390086 89 1 22.6 2
## 13 0.24 69.967544 68 912 19.2 2
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 8 3.65 8 0.1 544.56653 583211
## 2 84 3.82 83 0.1 778.54542 673252
## 3 98 3.39 89 0.1 433.26915 569479
## 4 69 4.57 69 0.1 648.38717 626425
## 5 75 4.93 75 0.1 72.75931 64162
## 6 7 3.56 7 0.1 375.85286 542357
## 7 87 6.75 87 0.8 852.95438 759385
## 8 7 2.86 7 0.1 395.93194 555888
## 9 92 NA 91 0.8 727.64639 777424
## 10 82 5.82 74 0.1 769.17429 689692
## 11 85 6.10 83 0.2 829.75869 76569
## 12 85 7.11 86 0.8 788.63265 723868
## 13 67 4.32 68 0.1 621.93372 611627
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 7.6 7.6 0.000
## 2 7.2 7.0 0.465
## 3 7.7 7.7 0.000
## 4 7.4 7.3 0.451
## 5 7.3 7.2 0.459
## 6 7.9 7.9 0.000
## 7 6.8 6.6 0.497
## 8 7.8 7.8 0.000
## 9 6.7 6.5 0.498
## 10 7.1 6.9 0.476
## 11 7.0 6.8 0.479
## 12 6.9 6.7 0.484
## 13 7.5 7.4 0.434
## Schooling
## 1 9.2
## 2 10.3
## 3 8.8
## 4 9.9
## 5 10.0
## 6 8.2
## 7 11.1
## 8 8.5
## 9 11.1
## 10 10.5
## 11 10.6
## 12 10.8
## 13 9.7train %>% filter(Country == "Kiribati")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Kiribati 2015 Developing 66.3 198 0
## 2 Kiribati 2008 Developing 65.1 21 0
## 3 Kiribati 2012 Developing 65.7 24 0
## 4 Kiribati 2013 Developing 65.8 22 0
## 5 Kiribati 2000 Developing 64.1 222 0
## 6 Kiribati 2007 Developing 65.0 211 0
## 7 Kiribati 2014 Developing 66.1 2 0
## 8 Kiribati 2011 Developing 65.5 26 0
## 9 Kiribati 2004 Developing 64.8 214 0
## 10 Kiribati 2010 Developing 65.3 27 0
## 11 Kiribati 2006 Developing 65.0 212 0
## 12 Kiribati 2005 Developing 64.9 213 0
## 13 Kiribati 2001 Developing 64.3 219 0
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 NA 0.00000 82 0 77.6 0
## 2 0.46 167.62016 83 0 74.1 0
## 3 0.01 147.45498 94 0 76.2 0
## 4 0.01 137.25919 95 0 76.7 0
## 5 0.46 11.07543 9 0 67.9 0
## 6 0.68 188.71088 96 0 73.4 0
## 7 0.01 97.87193 75 0 77.1 0
## 8 0.53 30.46704 95 0 75.7 0
## 9 0.48 10.62427 67 0 71.4 0
## 10 0.48 18.21661 91 0 75.2 0
## 11 0.76 18.19458 88 0 72.8 0
## 12 0.60 111.73921 5 0 72.1 0
## 13 0.60 59.97186 85 0 68.8 0
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 8 NA 78 0.1 1424.4836 11247
## 2 74 12.23 82 0.1 1413.3234 9844
## 3 92 1.37 94 0.1 1763.8155 16613
## 4 91 1.15 95 0.1 1724.3617 18535
## 5 9 8.12 9 0.1 796.7938 8446
## 6 93 13.66 94 0.1 1357.6322 96311
## 7 79 1.21 75 0.1 1684.5427 11458
## 8 95 1.42 99 0.1 1692.6133 14656
## 9 61 1.39 62 0.1 113.6286 9542
## 10 95 1.52 91 0.1 1493.1651 12652
## 11 86 1.93 86 0.1 1151.5556 9426
## 12 74 1.60 79 0.1 1214.5567 92325
## 13 88 9.00 85 0.1 734.9492 85858
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 0.1 0.1 0.586
## 2 0.2 0.1 0.572
## 3 0.1 0.1 0.581
## 4 0.1 0.1 0.589
## 5 0.2 0.2 0.000
## 6 0.2 0.1 0.574
## 7 0.1 0.1 0.597
## 8 0.1 0.1 0.585
## 9 0.2 0.2 0.000
## 10 0.1 0.1 0.584
## 11 0.2 0.1 0.576
## 12 0.2 0.2 0.000
## 13 0.2 0.2 0.000
## Schooling
## 1 11.9
## 2 11.6
## 3 11.9
## 4 11.9
## 5 10.0
## 6 11.8
## 7 11.9
## 8 11.9
## 9 12.4
## 10 11.9
## 11 12.1
## 12 12.2
## 13 10.4train %>% filter(Country == "South Sudan")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 South Sudan 2003 Developing 58.0 383 29
## 2 South Sudan 2004 Developing 51.4 383 29
## 3 South Sudan 2007 Developing 53.1 381 27
## 4 South Sudan 2008 Developing 53.6 377 27
## 5 South Sudan 2015 Developing 57.3 332 26
## 6 South Sudan 2001 Developing 49.6 381 30
## 7 South Sudan 2000 Developing 48.9 38 31
## 8 South Sudan 2006 Developing 52.5 383 28
## 9 South Sudan 2012 Developing 56.0 347 26
## 10 South Sudan 2013 Developing 56.4 345 26
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 NA 0.00000 NA 0 NA 46
## 2 NA 0.00000 NA 0 NA 45
## 3 NA 0.00000 NA 0 NA 43
## 4 NA 0.00000 NA 0 NA 42
## 5 NA 0.00000 31 878 NA 39
## 6 NA 0.00000 NA 0 NA 49
## 7 NA 0.00000 NA 0 NA 50
## 8 NA 0.00000 NA 0 NA 43
## 9 NA 38.33823 NA 1952 NA 40
## 10 NA 47.44453 NA 525 NA 40
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 NA NA NA 3.5 NA 751642
## 2 NA NA NA 3.8 NA 7787655
## 3 NA NA NA 4.2 NA 88568
## 4 NA NA NA 4.2 1678.7119 9263136
## 5 41 NA 31 3.4 758.7258 11882136
## 6 NA NA NA 3.0 NA 6974442
## 7 NA NA NA 2.7 NA 67656
## 8 NA NA NA 4.1 NA 8468152
## 9 64 2.77 59 3.8 958.4558 1818258
## 10 5 2.62 45 3.6 1186.1133 1117749
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 NA NA 0.000
## 2 NA NA 0.000
## 3 NA NA 0.000
## 4 NA NA 0.000
## 5 NA NA 0.421
## 6 NA NA 0.000
## 7 NA NA 0.000
## 8 NA NA 0.000
## 9 NA NA 0.419
## 10 NA NA 0.417
## Schooling
## 1 0.0
## 2 0.0
## 3 0.0
## 4 0.0
## 5 4.9
## 6 0.0
## 7 0.0
## 8 0.0
## 9 4.9
## 10 4.9train %>% filter(Country == "Vanuatu")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Vanuatu 2008 Developing 75.0 153 0
## 2 Vanuatu 2002 Developing 69.3 176 0
## 3 Vanuatu 2003 Developing 69.4 173 0
## 4 Vanuatu 2012 Developing 71.4 138 0
## 5 Vanuatu 2007 Developing 73.0 157 0
## 6 Vanuatu 2004 Developing 69.6 169 0
## 7 Vanuatu 2000 Developing 69.0 18 0
## 8 Vanuatu 2010 Developing 71.0 145 0
## 9 Vanuatu 2014 Developing 71.7 134 0
## 10 Vanuatu 2005 Developing 69.9 165 0
## 11 Vanuatu 2013 Developing 71.6 135 0
## 12 Vanuatu 2009 Developing 78.0 149 0
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 1.18 345.33906 61 0 47.4 0
## 2 1.24 171.13736 66 101 42.6 0
## 3 1.20 27.29839 64 165 43.3 0
## 4 0.01 427.98852 64 0 5.8 0
## 5 1.01 342.49086 6 0 46.6 0
## 6 0.85 334.16734 63 0 44.1 0
## 7 1.21 21.90075 7 9 41.1 0
## 8 0.91 471.86265 62 0 49.1 0
## 9 0.01 564.81670 64 10 52.5 0
## 10 0.88 337.29428 61 3 44.9 0
## 11 0.01 447.54564 64 0 51.7 0
## 12 0.83 361.09410 62 0 48.2 0
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 66 3.66 67 0.1 2697.9614 22534
## 2 67 3.52 7 0.1 1353.9348 193956
## 3 67 4.20 69 0.1 158.5272 198964
## 4 65 3.70 64 0.1 3158.5869 247485
## 5 67 3.67 67 0.1 2393.3673 219953
## 6 67 4.12 69 0.1 1787.9472 24143
## 7 67 3.28 71 0.1 1469.8491 18563
## 8 66 4.71 65 0.1 2965.8243 236295
## 9 65 5.20 64 0.1 3148.3651 25885
## 10 67 3.87 68 0.1 1886.4334 2937
## 11 65 3.92 64 0.1 3167.3436 253142
## 12 66 3.90 66 0.1 2643.4414 23785
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 1.5 1.5 0.582
## 2 1.7 1.6 0.000
## 3 1.6 1.6 0.000
## 4 1.5 1.4 0.592
## 5 1.6 1.5 0.579
## 6 1.6 1.5 0.000
## 7 1.7 1.7 0.000
## 8 1.5 1.4 0.590
## 9 1.5 1.4 0.596
## 10 1.6 1.5 0.000
## 11 1.5 1.4 0.591
## 12 1.5 1.5 0.589
## Schooling
## 1 10.7
## 2 10.2
## 3 10.4
## 4 10.8
## 5 10.7
## 6 10.7
## 7 9.6
## 8 10.8
## 9 10.8
## 10 10.6
## 11 10.8
## 12 10.7The errors in these entries occur due to 0 values. They were likely supposed to be null, but were submitted as 0.00 instead. These will need to be corrected.
Under the Population variable, there appears to be some major outliers. Let’s investigate further.
train %>% filter(Population > 500000000)## Country Year Status Life.expectancy Adult.Mortality infant.deaths Alcohol
## 1 India 2007 Developing 65.2 26 1400 1.59
## 2 India 2006 Developing 64.8 28 1500 1.37
## 3 India 2005 Developing 64.4 211 1500 1.27
## percentage.expenditure Hepatitis.B Measles BMI under.five.deaths Polio
## 1 5.234770 6 41144 14.4 1900 67
## 2 34.859427 6 64185 13.9 2000 66
## 3 3.509637 8 36711 13.5 2000 65
## Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 4.23 64 0.3 118.1664 1179681239
## 2 4.25 65 0.3 792.2597 1161977719
## 3 4.28 65 0.3 77.8190 1144118674
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 27.1 28.0 0.546
## 2 27.1 28.0 0.536
## 3 27.2 28.1 0.526
## Schooling
## 1 9.9
## 2 9.7
## 3 9.4train %>% filter(Country == "India")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 India 2007 Developing 65.2 26 1400
## 2 India 2003 Developing 63.7 216 1700
## 3 India 2011 Developing 66.8 193 1100
## 4 India 2001 Developing 62.9 222 1800
## 5 India 2006 Developing 64.8 28 1500
## 6 India 2013 Developing 67.6 187 1000
## 7 India 2005 Developing 64.4 211 1500
## 8 India 2010 Developing 66.4 196 1200
## 9 India 2008 Developing 65.5 23 1300
## 10 India 2009 Developing 66.0 2 1300
## 11 India 2015 Developing 68.3 181 910
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 1.59 5.2347703 6 41144 14.4 1900
## 2 1.19 19.4808682 NA 47147 12.6 2200
## 3 3.00 64.6059005 44 33634 16.4 1500
## 4 1.00 19.0034061 NA 51780 11.8 2400
## 5 1.37 34.8594267 6 64185 13.9 2000
## 6 3.11 67.6723044 7 13822 17.5 1300
## 7 1.27 3.5096369 8 36711 13.5 2000
## 8 2.77 57.7335986 38 31458 15.9 1600
## 9 1.93 43.0304331 29 44258 14.9 1800
## 10 2.50 0.8441863 37 56188 15.4 1700
## 11 NA 0.0000000 87 90387 18.7 1100
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 67 4.23 64 0.3 118.16637 1179681239
## 2 57 4.30 61 0.3 541.13523 11827848
## 3 79 4.33 82 0.2 1461.67196 124723629
## 4 58 4.50 59 0.3 447.13897 171477855
## 5 66 4.25 65 0.3 792.25970 1161977719
## 6 82 4.53 83 0.2 1452.19537 127856227
## 7 65 4.28 65 0.3 77.81900 1144118674
## 8 76 4.28 79 0.2 1345.77153 12398691
## 9 69 4.34 7 0.3 991.48463 119714696
## 10 73 4.38 74 0.2 19.31777 121427132
## 11 86 NA 87 0.2 1613.18878 1395398
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 27.1 28.0 0.546
## 2 27.3 28.3 0.505
## 3 26.9 27.7 0.580
## 4 27.5 28.5 0.494
## 5 27.1 28.0 0.536
## 6 26.8 27.5 0.599
## 7 27.2 28.1 0.526
## 8 27.0 27.8 0.569
## 9 27.0 27.9 0.556
## 10 27.0 27.8 0.563
## 11 26.7 27.3 0.615
## Schooling
## 1 9.9
## 2 8.6
## 3 10.8
## 4 8.3
## 5 9.7
## 6 11.5
## 7 9.4
## 8 10.4
## 9 10.2
## 10 10.5
## 11 11.6India should have a population above 1 billion each year, but is often in the tens/hundreds of millions in the dataset. China should have very large populations as well, but they range from 13,000 to 1.4 million. These should be about 1.4 billion. In addition, some major countries like the U.S. are missing all of its population data.
Let’s investigate the outlines for GDP
train %>% filter(GDP > 100000)## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Luxembourg 2011 Developed 88.0 72 0
## 2 Luxembourg 2008 Developed 80.0 8 0
## 3 Luxembourg 2013 Developed 81.4 68 0
## 4 Luxembourg 2014 Developed 81.7 65 0
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 11.50 17028.53 95 6 59.6 0
## 2 11.53 18961.35 94 1 58.4 0
## 3 11.02 15515.75 94 0 6.5 0
## 4 11.12 16255.16 94 0 6.9 0
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 96 7.34 99 0.1 115761.6 518347
## 2 96 7.34 99 0.1 114293.8 48865
## 3 99 7.10 99 0.1 113751.9 54336
## 4 99 6.94 99 0.1 119172.7 556319
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 0.9 0.9 0.894
## 2 0.9 0.9 0.887
## 3 0.9 0.9 0.892
## 4 1.0 0.9 0.892
## Schooling
## 1 13.9
## 2 13.5
## 3 13.9
## 4 13.9train %>% filter(Country == "Luxembourg")## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Luxembourg 2007 Developed 79.7 82 0
## 2 Luxembourg 2001 Developed 78.0 96 0
## 3 Luxembourg 2005 Developed 78.8 9 0
## 4 Luxembourg 2010 Developed 86.0 73 0
## 5 Luxembourg 2002 Developed 78.3 95 0
## 6 Luxembourg 2011 Developed 88.0 72 0
## 7 Luxembourg 2000 Developed 77.8 98 0
## 8 Luxembourg 2009 Developed 83.0 76 0
## 9 Luxembourg 2004 Developed 78.7 92 0
## 10 Luxembourg 2008 Developed 80.0 8 0
## 11 Luxembourg 2012 Developed 81.1 7 0
## 12 Luxembourg 2013 Developed 81.4 68 0
## 13 Luxembourg 2014 Developed 81.7 65 0
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 11.75 267.0513 87 0 57.9 0
## 2 12.89 7877.3366 86 0 54.6 0
## 3 11.84 1346.2467 95 0 57.0 0
## 4 11.36 2267.2522 94 0 59.2 0
## 5 12.91 910.5063 95 0 55.2 0
## 6 11.50 17028.5280 95 6 59.6 0
## 7 13.14 8246.1304 77 0 54.0 0
## 8 11.42 2052.3931 95 0 58.8 0
## 9 12.42 12372.0519 94 0 56.4 0
## 10 11.53 18961.3486 94 1 58.4 0
## 11 11.34 2284.5822 94 2 6.1 0
## 12 11.02 15515.7523 94 0 6.5 0
## 13 11.12 16255.1620 94 0 6.9 0
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 96 6.80 99 0.1 1618.493 479993
## 2 99 7.40 99 0.1 48179.429 441525
## 3 99 7.95 99 0.1 8289.696 465158
## 4 96 7.68 99 0.1 14965.361 56953
## 5 99 8.27 99 0.1 5293.641 446175
## 6 96 7.34 99 0.1 115761.577 518347
## 7 99 7.48 99 0.1 48735.995 4363
## 8 96 8.11 99 0.1 13198.669 497783
## 9 99 8.20 99 0.1 75716.352 45895
## 10 96 7.34 99 0.1 114293.843 48865
## 11 99 7.18 99 0.1 16749.136 53946
## 12 99 7.10 99 0.1 113751.850 54336
## 13 99 6.94 99 0.1 119172.742 556319
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 0.9 0.9 0.877
## 2 1.0 1.0 0.854
## 3 1.0 0.9 0.874
## 4 0.9 0.9 0.884
## 5 1.0 0.9 0.860
## 6 0.9 0.9 0.894
## 7 1.0 1.0 0.848
## 8 0.9 0.9 0.888
## 9 1.0 0.9 0.867
## 10 0.9 0.9 0.887
## 11 0.9 0.9 0.892
## 12 0.9 0.9 0.892
## 13 1.0 0.9 0.892
## Schooling
## 1 13.5
## 2 13.4
## 3 13.5
## 4 13.7
## 5 13.5
## 6 13.9
## 7 13.5
## 8 13.5
## 9 13.5
## 10 13.5
## 11 13.9
## 12 13.9
## 13 13.9The Luxembourg GDP variable (which is GDP per capita) fluctuates from 1.6k to 120k. There is a reporting error here. There may be some other inconsistent GDPs for other countries that were not investigated.
Correct the values that were missing a 0 at the end (e.g. change 2 to 20 for Diphtheria):
plot(y = train$Life.expectancy, x = train$Diphtheria)
train$Diphtheria <- ifelse(train$Diphtheria < 15, train$Diphtheria * 10, train$Diphtheria)
plot(y = train$Life.expectancy, x = train$Diphtheria)
plot(y = train$Life.expectancy, x = train$Polio)
train$Polio <- ifelse(train$Polio < 15, train$Polio * 10, train$Polio)
plot(y = train$Life.expectancy, x = train$Polio)
plot(y = train$Life.expectancy, x = train$BMI)
train$BMI <- ifelse(train$BMI < 9, train$BMI * 10, train$BMI)
plot(y = train$Life.expectancy, x = train$BMI)
plot(y = train$Life.expectancy, x = train$Adult.Mortality)
train$Adult.Mortality <- ifelse(train$Adult.Mortality < 4, train$Adult.Mortality * 100, train$Adult.Mortality)
train$Adult.Mortality <- ifelse(train$Adult.Mortality < 45, train$Adult.Mortality * 10, train$Adult.Mortality)
train$Adult.Mortality <- ifelse(train$Adult.Mortality < 100 & train$Life.expectancy < 65, train$Adult.Mortality * 10, train$Adult.Mortality)
plot(y = train$Life.expectancy, x = train$Adult.Mortality)
The code above shows scatterplots before and after the revision. There may be some minor mistakes for values that were changed to be between 40 and 399 (but should actually be between 400 and 800). Overall though, it should accurately fix the overwhelming majority.
Now, we will revise the income composition of resources variable. There shouldn’t be any 0 values and they were likely supposed to be entered as null. We will make that change now.
plot(y = train$Life.expectancy, x = train$Income.composition.of.resources)
train$Income.composition.of.resources <- ifelse(train$Income.composition.of.resources < .2, NA, train$Income.composition.of.resources)
plot(y = train$Life.expectancy, x = train$Income.composition.of.resources)
Remove 0 values from Schooling. We will impute them later.
plot(y = train$Life.expectancy, x = train$Schooling)
train$Schooling <- ifelse(train$Schooling == 0, NA, train$Schooling)
plot(y = train$Life.expectancy, x = train$Schooling)
Remove extreme outliers for population. We will impute them later.
plot(y = train$Life.expectancy, x = train$Population)
train$Population <- ifelse(train$Population > 1000000000, NA, train$Population)
plot(y = train$Life.expectancy, x = train$Population)
Correct extreme outliers for infant.deaths
plot(y = train$Life.expectancy, x = train$infant.deaths)
train$infant.deaths <- ifelse(train$infant.deaths > 750, train$infant.deaths * .1, train$infant.deaths)
plot(y = train$Life.expectancy, x = train$infant.deaths)
Now that the values are corrected, impute the values with the mice package using random forest for both the train and test data. Use an aggregation plot to view missing values beofre and after imputation.
aggr_plot <- aggr(train, col=c('navyblue','red'), numbers=TRUE, sortVars=TRUE, labels=names(train), cex.axis=.7, gap=3,
ylab=c("Percent data missing","Combinations Missing"))## Warning in plot.aggr(res, ...): not enough vertical space to display frequencies
## (too many combinations)
##
## Variables sorted by number of missings:
## Variable Count
## Population 0.222877894
## Hepatitis.B 0.183386291
## GDP 0.151157512
## Income.composition.of.resources 0.103041307
## Total.expenditure 0.073082161
## Schooling 0.068996823
## Alcohol 0.061733999
## BMI 0.009078529
## thinness..1.19.years 0.009078529
## thinness.5.9.years 0.009078529
## Polio 0.004993191
## Diphtheria 0.004993191
## Life.expectancy 0.003177485
## Adult.Mortality 0.003177485
## Country 0.000000000
## Year 0.000000000
## Status 0.000000000
## infant.deaths 0.000000000
## percentage.expenditure 0.000000000
## Measles 0.000000000
## under.five.deaths 0.000000000
## HIV.AIDS 0.000000000train <- mice(train, method="rf")##
## iter imp variable
## 1 1 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 1 2 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 1 3 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 1 4 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 1 5 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 2 1 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 2 2 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 2 3 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 2 4 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 2 5 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 3 1 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 3 2 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 3 3 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 3 4 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 3 5 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 4 1 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 4 2 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 4 3 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 4 4 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 4 5 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 5 1 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 5 2 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 5 3 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 5 4 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 5 5 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling## Warning: Number of logged events: 350train <- complete(train)
summary(train)## Country Year Status
## Equatorial Guinea : 16 Min. :2000 Developed : 389
## Japan : 15 1st Qu.:2004 Developing:1814
## Kenya : 15 Median :2008
## Micronesia (Federated States of): 15 Mean :2008
## Myanmar : 15 3rd Qu.:2011
## Paraguay : 15 Max. :2015
## (Other) :2112
## Life.expectancy Adult.Mortality infant.deaths Alcohol
## Min. :36.30 Min. : 49.0 Min. : 0.00 Min. : 0.010
## 1st Qu.:63.25 1st Qu.:120.0 1st Qu.: 0.00 1st Qu.: 0.880
## Median :72.00 Median :169.0 Median : 3.00 Median : 3.650
## Mean :69.26 Mean :201.4 Mean : 22.77 Mean : 4.605
## 3rd Qu.:75.80 3rd Qu.:260.0 3rd Qu.: 21.00 3rd Qu.: 7.715
## Max. :89.00 Max. :723.0 Max. :576.00 Max. :17.870
##
## percentage.expenditure Hepatitis.B Measles BMI
## Min. : 0.000 Min. : 2.00 Min. : 0.0 Min. : 9.20
## 1st Qu.: 5.324 1st Qu.:73.00 1st Qu.: 0.0 1st Qu.:23.95
## Median : 69.968 Median :91.00 Median : 17.0 Median :46.40
## Mean : 714.914 Mean :78.73 Mean : 2219.2 Mean :42.08
## 3rd Qu.: 442.851 3rd Qu.:96.00 3rd Qu.: 357.5 3rd Qu.:57.15
## Max. :19479.912 Max. :99.00 Max. :212183.0 Max. :83.30
##
## under.five.deaths Polio Total.expenditure Diphtheria
## Min. : 0.00 Min. :17.00 Min. : 0.740 Min. :16.00
## 1st Qu.: 0.00 1st Qu.:81.00 1st Qu.: 4.230 1st Qu.:81.00
## Median : 4.00 Median :93.00 Median : 5.780 Median :93.00
## Mean : 40.19 Mean :86.53 Mean : 5.962 Mean :86.27
## 3rd Qu.: 27.00 3rd Qu.:97.00 3rd Qu.: 7.570 3rd Qu.:97.00
## Max. :2400.00 Max. :99.00 Max. :17.240 Max. :99.00
##
## HIV.AIDS GDP Population thinness..1.19.years
## Min. : 0.100 Min. : 1.68 Min. : 36 Min. : 0.100
## 1st Qu.: 0.100 1st Qu.: 375.72 1st Qu.: 171998 1st Qu.: 1.600
## Median : 0.100 Median : 1461.76 Median : 1247429 Median : 3.400
## Mean : 1.819 Mean : 6451.37 Mean : 9632230 Mean : 4.921
## 3rd Qu.: 0.800 3rd Qu.: 5195.44 3rd Qu.: 7267232 3rd Qu.: 7.300
## Max. :50.600 Max. :119172.74 Max. :258162113 Max. :27.500
##
## thinness.5.9.years Income.composition.of.resources Schooling
## Min. : 0.100 Min. :0.2530 Min. : 2.8
## 1st Qu.: 1.500 1st Qu.:0.5080 1st Qu.:10.1
## Median : 3.400 Median :0.6830 Median :12.4
## Mean : 4.941 Mean :0.6532 Mean :12.1
## 3rd Qu.: 7.300 3rd Qu.:0.7820 3rd Qu.:14.4
## Max. :28.500 Max. :0.9480 Max. :20.7
## test <- mice(test, method="rf")##
## iter imp variable
## 1 1 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 1 2 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 1 3 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 1 4 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 1 5 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 2 1 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 2 2 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 2 3 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 2 4 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 2 5 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 3 1 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 3 2 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 3 3 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 3 4 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 3 5 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 4 1 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 4 2 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 4 3 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 4 4 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 4 5 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 5 1 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 5 2 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 5 3 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 5 4 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
## 5 5 Life.expectancy Adult.Mortality Alcohol Hepatitis.B BMI Polio Total.expenditure Diphtheria GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling## Warning: Number of logged events: 350test <- complete(test)
summary(test)## Country Year Status
## Armenia : 9 Min. :2000 Developed :123
## Côte d'Ivoire : 9 1st Qu.:2003 Developing:612
## China : 9 Median :2007
## Saint Vincent and the Grenadines: 9 Mean :2008
## Chile : 8 3rd Qu.:2012
## Kuwait : 8 Max. :2015
## (Other) :683
## Life.expectancy Adult.Mortality infant.deaths Alcohol
## Min. :41.50 Min. : 1.0 Min. : 0.00 Min. : 0.010
## 1st Qu.:62.95 1st Qu.: 81.0 1st Qu.: 0.00 1st Qu.: 0.580
## Median :72.20 Median :144.0 Median : 3.00 Median : 3.810
## Mean :69.19 Mean :166.8 Mean : 34.87 Mean : 4.559
## 3rd Qu.:75.50 3rd Qu.:234.0 3rd Qu.: 23.00 3rd Qu.: 7.610
## Max. :89.00 Max. :699.0 Max. :1800.00 Max. :15.040
##
## percentage.expenditure Hepatitis.B Measles BMI
## Min. : 0.000 Min. : 1.00 Min. : 0 Min. : 1.40
## 1st Qu.: 3.303 1st Qu.:70.00 1st Qu.: 0 1st Qu.:19.50
## Median : 56.431 Median :89.00 Median : 16 Median :44.60
## Mean : 808.200 Mean :78.04 Mean : 3020 Mean :38.66
## 3rd Qu.: 432.733 3rd Qu.:96.00 3rd Qu.: 362 3rd Qu.:56.40
## Max. :19099.045 Max. :99.00 Max. :168107 Max. :87.30
##
## under.five.deaths Polio Total.expenditure Diphtheria
## Min. : 0.00 Min. : 3.00 Min. : 0.370 Min. : 4.00
## 1st Qu.: 0.00 1st Qu.:77.00 1st Qu.: 4.375 1st Qu.:77.00
## Median : 4.00 Median :93.00 Median : 5.620 Median :93.00
## Mean : 47.57 Mean :82.44 Mean : 5.855 Mean :81.94
## 3rd Qu.: 32.00 3rd Qu.:97.00 3rd Qu.: 7.290 3rd Qu.:97.00
## Max. :2500.00 Max. :99.00 Max. :17.600 Max. :99.00
##
## HIV.AIDS GDP Population thinness..1.19.years
## Min. : 0.100 Min. : 11.15 Min. : 34 Min. : 0.10
## 1st Qu.: 0.100 1st Qu.: 407.52 1st Qu.: 239932 1st Qu.: 1.60
## Median : 0.100 Median : 1431.24 Median : 1493469 Median : 3.30
## Mean : 1.513 Mean : 7363.62 Mean : 15319702 Mean : 4.74
## 3rd Qu.: 0.700 3rd Qu.: 6288.40 3rd Qu.: 7152385 3rd Qu.: 7.05
## Max. :50.300 Max. :89739.71 Max. :1293859294 Max. :27.70
##
## thinness.5.9.years Income.composition.of.resources Schooling
## Min. : 0.100 Min. :0.0000 Min. : 0.00
## 1st Qu.: 1.600 1st Qu.:0.4870 1st Qu.:10.00
## Median : 3.300 Median :0.6770 Median :12.30
## Mean : 4.802 Mean :0.6242 Mean :11.91
## 3rd Qu.: 7.100 3rd Qu.:0.7790 3rd Qu.:14.15
## Max. :28.600 Max. :0.9380 Max. :20.40
## aggr_plot <- aggr(train, col=c('navyblue','red'), numbers=TRUE, sortVars=TRUE, labels=names(train), cex.axis=.7, gap=3,
ylab=c("Percent data missing","Combinations Missing"))
##
## Variables sorted by number of missings:
## Variable Count
## Country 0
## Year 0
## Status 0
## Life.expectancy 0
## Adult.Mortality 0
## infant.deaths 0
## Alcohol 0
## percentage.expenditure 0
## Hepatitis.B 0
## Measles 0
## BMI 0
## under.five.deaths 0
## Polio 0
## Total.expenditure 0
## Diphtheria 0
## HIV.AIDS 0
## GDP 0
## Population 0
## thinness..1.19.years 0
## thinness.5.9.years 0
## Income.composition.of.resources 0
## Schooling 0Below are various transformations to see if the assumptions will be better fulfilled. This includes log transformations and adding quadratic terms
plot(y = train$Life.expectancy, x = (train$infant.deaths))
plot(y = train$Life.expectancy, x = log(train$infant.deaths))
plot(y = train$Life.expectancy, x = (train$under.five.deaths))
plot(y = train$Life.expectancy, x = log(train$under.five.deaths))
plot(y = train$Life.expectancy, x = (train$percentage.expenditure))
plot(y = train$Life.expectancy, x = sqrt(train$percentage.expenditure))
plot(y = log(train$Life.expectancy), x = log(train$percentage.expenditure))
plot(y = train$Life.expectancy, x = log(train$percentage.expenditure))
model1 <- lm(Life.expectancy ~ percentage.expenditure, data=train)
model2 <- lm(Life.expectancy ~ percentage.expenditure + I(percentage.expenditure^2), data=train)
model4 <- lm(Life.expectancy ~ percentage.expenditure + I(percentage.expenditure^2) + I(percentage.expenditure^3) + I(percentage.expenditure^4), data=train)
par(mfrow=c(2,2))
plot(model1)
plot(model2)
plot(model4)
plot(y = train$Life.expectancy, x = (train$Measles))
plot(y = train$Life.expectancy, x = log(train$Measles))
plot(y = train$Life.expectancy, x = (train$HIV.AIDS))
plot(y = train$Life.expectancy, x = log(train$HIV.AIDS))
model1 <- lm(Life.expectancy ~ HIV.AIDS, data=train)
model2 <- lm(Life.expectancy ~ HIV.AIDS + I(HIV.AIDS^2), data=train)
par(mfrow=c(2,2))
plot(model1)
plot(model2)
plot(y = train$Life.expectancy, x = (train$GDP))
plot(y = train$Life.expectancy, x = log(train$GDP))
plot(y = train$Life.expectancy, x = (train$GDP) ** .1)
plot(y = train$Life.expectancy, x = (train$Population))
plot(y = train$Life.expectancy, x = log(train$Population))
plot(y = train$Life.expectancy, x = (train$thinness..1.19.years))
plot(y = train$Life.expectancy, x = log(train$thinness..1.19.years))
None of the quadratic terms seemed to improve the scatterplots enough. Log transformations fit well in most situations. Thinness was the only variable that looked worse, so we will log transform all the other ones:
train$infant.deaths <- log(train$infant.deaths + .1)
train$under.five.deaths <- log(train$under.five.deaths + .1)
train$percentage.expenditure <- log(train$percentage.expenditure + .1)
train$Measles <- log(train$Measles + .1)
train$HIV.AIDS <- log(train$HIV.AIDS)
train$GDP <- log(train$GDP)
train$GDP <- log(train$Population)
test$infant.deaths <- log(test$infant.deaths + .1)
test$under.five.deaths <- log(test$under.five.deaths + .1)
test$percentage.expenditure <- log(test$percentage.expenditure + .1)
test$Measles <- log(test$Measles + .1)
test$HIV.AIDS <- log(test$HIV.AIDS)
test$GDP <- log(test$GDP)
test$GDP <- log(test$Population)Objective 1 • Display the ability to build regression models using the skills and discussions from Unit 1 and 2 with the purpose of identifying key relationships and interpreting those relationships.
• Build a model with the main goal to identify key relationships and that is highly interpretative. Provide detailed information on summary statistics, EDA, and your model building process. • Provide interpretation of the regression coefficients of your final model including hypothesis testing, interpretation of regression coefficients, and confidence intervals. It’s also good to mention the Practical vs Statistical significance of the predictors. Answer any additional questions using your model that you deem are relevant. • The training data set can be used for EDA and model fitting while the test set can be used to help compare models to make a final call.
Subset out factor data.
train_cat <- subset(train, select=c(Country, Status))
test_cat <- subset(test, select=c(Country, Status))
train <- subset(train, select=-c(Country, Status))
test <- subset(test, select=-c(Country, Status))Model 1 created using strongly correlated data from Correlation Matrix shown above.
model1 <- lm(Life.expectancy ~ ., data=train)
summary(model1)##
## Call:
## lm(formula = Life.expectancy ~ ., data = train)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.7824 -1.5006 -0.3027 0.9848 11.6437
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) -5.040809368172 24.038681001855 -0.210
## Year 0.032588030389 0.011990076952 2.718
## Adult.Mortality -0.047440200192 0.001009654094 -46.987
## infant.deaths 0.265460299848 0.137473998069 1.931
## Alcohol 0.038916517613 0.017159716300 2.268
## percentage.expenditure 0.025697769732 0.016098744332 1.596
## Hepatitis.B -0.007645541696 0.002408320147 -3.175
## Measles -0.010492407290 0.015904065164 -0.660
## BMI 0.004327322790 0.005606322143 0.772
## under.five.deaths -0.246701598719 0.134139302280 -1.839
## Polio 0.015235104771 0.013440965975 1.133
## Total.expenditure 0.106549813001 0.021913322113 4.862
## Diphtheria 0.039003557412 0.012986895444 3.003
## HIV.AIDS -0.081950767792 0.065098345771 -1.259
## GDP 0.024582319762 0.024046779992 1.022
## Population -0.000000003591 0.000000002456 -1.462
## thinness..1.19.years 0.012970163615 0.033688532419 0.385
## thinness.5.9.years -0.037385413688 0.033182699444 -1.127
## Income.composition.of.resources 17.548201898499 1.140964037142 15.380
## Schooling 0.131364836251 0.044343310311 2.962
## Pr(>|t|)
## (Intercept) 0.83392
## Year 0.00662 **
## Adult.Mortality < 0.0000000000000002 ***
## infant.deaths 0.05361 .
## Alcohol 0.02343 *
## percentage.expenditure 0.11058
## Hepatitis.B 0.00152 **
## Measles 0.50950
## BMI 0.44028
## under.five.deaths 0.06603 .
## Polio 0.25714
## Total.expenditure 0.00000124 ***
## Diphtheria 0.00270 **
## HIV.AIDS 0.20821
## GDP 0.30677
## Population 0.14394
## thinness..1.19.years 0.70027
## thinness.5.9.years 0.26001
## Income.composition.of.resources < 0.0000000000000002 ***
## Schooling 0.00308 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.358 on 2183 degrees of freedom
## Multiple R-squared: 0.9398, Adjusted R-squared: 0.9393
## F-statistic: 1795 on 19 and 2183 DF, p-value: < 0.00000000000000022model11 <- lm(Life.expectancy ~ Schooling + Adult.Mortality + Income.composition.of.resources, data = test)
summary(model11)##
## Call:
## lm(formula = Life.expectancy ~ Schooling + Adult.Mortality +
## Income.composition.of.resources, data = test)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23.5136 -1.8873 0.3551 2.4766 22.6723
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 56.215032 0.913869 61.513
## Schooling 0.938532 0.085738 10.947
## Adult.Mortality -0.031943 0.001761 -18.141
## Income.composition.of.resources 11.410510 1.369549 8.332
## Pr(>|t|)
## (Intercept) < 0.0000000000000002 ***
## Schooling < 0.0000000000000002 ***
## Adult.Mortality < 0.0000000000000002 ***
## Income.composition.of.resources 0.000000000000000393 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.777 on 731 degrees of freedom
## Multiple R-squared: 0.7416, Adjusted R-squared: 0.7405
## F-statistic: 699.3 on 3 and 731 DF, p-value: < 0.00000000000000022par(mfrow=c(2,2))
plot(model11)
#prediction based on models11 obtained form EDA Analysis
model1pred <- predict(model11,newdata = train, type = "response")
#model fitting using training data set
model.fit <- predict(model11, newdata = train)
#Comparing different models using TEST data set as per the requirement of project1 Assignment
#Backward step model, AIC 4165.28
BackwardStepModel <- step(model11,direction = "backward")## Start: AIC=2302.64
## Life.expectancy ~ Schooling + Adult.Mortality + Income.composition.of.resources
##
## Df Sum of Sq RSS AIC
## <none> 16678 2302.6
## - Income.composition.of.resources 1 1583.7 18262 2367.3
## - Schooling 1 2733.8 19412 2412.2
## - Adult.Mortality 1 7508.4 24186 2573.8#Prediction backward step model, response is useful to get predicted value
backwardstepPredi <- predict(BackwardStepModel, newdata = test,type = "response")
#Interpreting backward step
summary(BackwardStepModel)##
## Call:
## lm(formula = Life.expectancy ~ Schooling + Adult.Mortality +
## Income.composition.of.resources, data = test)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23.5136 -1.8873 0.3551 2.4766 22.6723
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 56.215032 0.913869 61.513
## Schooling 0.938532 0.085738 10.947
## Adult.Mortality -0.031943 0.001761 -18.141
## Income.composition.of.resources 11.410510 1.369549 8.332
## Pr(>|t|)
## (Intercept) < 0.0000000000000002 ***
## Schooling < 0.0000000000000002 ***
## Adult.Mortality < 0.0000000000000002 ***
## Income.composition.of.resources 0.000000000000000393 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.777 on 731 degrees of freedom
## Multiple R-squared: 0.7416, Adjusted R-squared: 0.7405
## F-statistic: 699.3 on 3 and 731 DF, p-value: < 0.00000000000000022#Forward step model, am using EDA model but i can use null model too
forwardmodel <- step(model11, direction="forward")## Start: AIC=2302.64
## Life.expectancy ~ Schooling + Adult.Mortality + Income.composition.of.resources#Prediction Forward model
predForwardModel <- predict(model11, newdata = test, type = "response")
#Interpreting the model
summary (forwardmodel)##
## Call:
## lm(formula = Life.expectancy ~ Schooling + Adult.Mortality +
## Income.composition.of.resources, data = test)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23.5136 -1.8873 0.3551 2.4766 22.6723
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 56.215032 0.913869 61.513
## Schooling 0.938532 0.085738 10.947
## Adult.Mortality -0.031943 0.001761 -18.141
## Income.composition.of.resources 11.410510 1.369549 8.332
## Pr(>|t|)
## (Intercept) < 0.0000000000000002 ***
## Schooling < 0.0000000000000002 ***
## Adult.Mortality < 0.0000000000000002 ***
## Income.composition.of.resources 0.000000000000000393 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.777 on 731 degrees of freedom
## Multiple R-squared: 0.7416, Adjusted R-squared: 0.7405
## F-statistic: 699.3 on 3 and 731 DF, p-value: < 0.00000000000000022#Step wise model using EDA model, using both forward and backward model
stepwisemodel <- step(model11, direction="both")## Start: AIC=2302.64
## Life.expectancy ~ Schooling + Adult.Mortality + Income.composition.of.resources
##
## Df Sum of Sq RSS AIC
## <none> 16678 2302.6
## - Income.composition.of.resources 1 1583.7 18262 2367.3
## - Schooling 1 2733.8 19412 2412.2
## - Adult.Mortality 1 7508.4 24186 2573.8#Prediction using step wise data
predictstepwise <- predict(stepwisemodel, newdata = test, type = "response")
#Interpretation of step wise model
summary (stepwisemodel)##
## Call:
## lm(formula = Life.expectancy ~ Schooling + Adult.Mortality +
## Income.composition.of.resources, data = test)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23.5136 -1.8873 0.3551 2.4766 22.6723
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 56.215032 0.913869 61.513
## Schooling 0.938532 0.085738 10.947
## Adult.Mortality -0.031943 0.001761 -18.141
## Income.composition.of.resources 11.410510 1.369549 8.332
## Pr(>|t|)
## (Intercept) < 0.0000000000000002 ***
## Schooling < 0.0000000000000002 ***
## Adult.Mortality < 0.0000000000000002 ***
## Income.composition.of.resources 0.000000000000000393 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.777 on 731 degrees of freedom
## Multiple R-squared: 0.7416, Adjusted R-squared: 0.7405
## F-statistic: 699.3 on 3 and 731 DF, p-value: < 0.00000000000000022#Checking assumption of the models used, so that we can evaluate and select the best model
#Assumptions: Linearity, homogeneity of residuals variance-homoscedasticity, and independece of residuals error terms -Non-Multicolinearity and normality of the residuals Error
#Checking normal distribution of error, we can see that they are almost noramly distributed
par(mfrow = c(3, 2))
plot(density(BackwardStepModel$residuals))
plot(density(forwardmodel$residuals))
plot(density(stepwisemodel$residuals))
#Checking homoscedasticity assumption, we can see that residulas from all model spraed equaly
par(mfrow = c(3, 2))
abline(h=0, col = "red")
plot(BackwardStepModel$fitted.values, BackwardStepModel$residuals)
abline(h=0, col = "red")
plot(forwardmodel$fitted.values, forwardmodel$residuals)
abline(h=0, col = "red")
plot(stepwisemodel$fitted.values, stepwisemodel$residuals)
abline(h=0, col = "red")
# Evaluating of Adjusted R squared for all model
summary(BackwardStepModel)$adj.r.squared ## [1] 0.7405229summary(forwardmodel)$adj.r.squared ## [1] 0.7405229summary(stepwisemodel)$adj.r.squared ## [1] 0.7405229# Evaluating RMSE for all model
RMSE(backwardstepPredi, test$Life.expectancy)## [1] 4.763489RMSE(predForwardModel, test$Life.expectancy)## [1] 4.763489RMSE(predictstepwise, test$Life.expectancy)## [1] 4.763489# Full model, i used full prediction to show that it has high RMSE there step wise model is best model
allpredimodel <- lm(Life.expectancy ~ ., data=test)
summary(allpredimodel) ##
## Call:
## lm(formula = Life.expectancy ~ ., data = test)
##
## Residuals:
## Min 1Q Median 3Q Max
## -18.0500 -1.8906 -0.0411 1.9780 16.3940
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) -94.380276859063 59.284009739827 -1.592
## Year 0.074918123903 0.029644933960 2.527
## Adult.Mortality -0.011912668758 0.001520240887 -7.836
## infant.deaths 0.611718243782 0.347096222933 1.762
## Alcohol 0.029167005079 0.041150321804 0.709
## percentage.expenditure 0.128263934186 0.039356421270 3.259
## Hepatitis.B -0.016846473711 0.006398515740 -2.633
## Measles -0.073163592616 0.039415631478 -1.856
## BMI 0.016143424975 0.009262213433 1.743
## under.five.deaths -0.968166363693 0.340887770364 -2.840
## Polio 0.021707335127 0.007523557310 2.885
## Total.expenditure 0.093646089174 0.058768547410 1.593
## Diphtheria 0.020189749053 0.008088158181 2.496
## HIV.AIDS -2.518333713354 0.125422785109 -20.079
## GDP 0.011412486255 0.059361963487 0.192
## Population 0.000000001315 0.000000001675 0.785
## thinness..1.19.years -0.008140467351 0.088187260751 -0.092
## thinness.5.9.years -0.068123073715 0.086164662333 -0.791
## Income.composition.of.resources 7.171215007179 1.070892600605 6.696
## Schooling 0.388650416424 0.072917077861 5.330
## Pr(>|t|)
## (Intercept) 0.11183
## Year 0.01171 *
## Adult.Mortality 0.0000000000000169 ***
## infant.deaths 0.07843 .
## Alcohol 0.47868
## percentage.expenditure 0.00117 **
## Hepatitis.B 0.00865 **
## Measles 0.06384 .
## BMI 0.08178 .
## under.five.deaths 0.00464 **
## Polio 0.00403 **
## Total.expenditure 0.11150
## Diphtheria 0.01278 *
## HIV.AIDS < 0.0000000000000002 ***
## GDP 0.84760
## Population 0.43264
## thinness..1.19.years 0.92648
## thinness.5.9.years 0.42943
## Income.composition.of.resources 0.0000000000432141 ***
## Schooling 0.0000001317760732 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.456 on 715 degrees of freedom
## Multiple R-squared: 0.8676, Adjusted R-squared: 0.8641
## F-statistic: 246.7 on 19 and 715 DF, p-value: < 0.00000000000000022
Variable selection using LASSO:
#Formatting data for GLM net
x=model.matrix(Life.expectancy~.,train)[,-1]
y=train$Life.expectancy
xtest<-model.matrix(Life.expectancy~.,test)[,-1]
ytest<-test$Life.expectancy
grid=10^seq(10,-2, length =100)
lasso.mod=glmnet(x,y,alpha=1, lambda =grid)
cv.out=cv.glmnet(x,y,alpha=1) #alpha=1 performs LASSO
plot(cv.out)
bestlambda<-cv.out$lambda.min #Optimal penalty parameter. You can make this call visually.
lasso.pred=predict (lasso.mod ,s=bestlambda ,newx=xtest)
testMSE_LASSO<-mean((ytest-lasso.pred)^2)
testMSE_LASSO## [1] 26.3292Examining the coefficients on the predictors below, we can see that many of them are quite small and not contributing much. We will compare a model that only includes large, positive values vs. one with all positive values:
coef(lasso.mod,s=bestlambda)## 20 x 1 sparse Matrix of class "dgCMatrix"
## 1
## (Intercept) 9.117376236439469
## Year 0.025643546845206
## Adult.Mortality -0.047528075024797
## infant.deaths .
## Alcohol 0.029562754164443
## percentage.expenditure 0.018173005383582
## Hepatitis.B -0.005654920999626
## Measles -0.005021149420317
## BMI 0.004544435507008
## under.five.deaths .
## Polio 0.015786036047456
## Total.expenditure 0.103484088052424
## Diphtheria 0.036179073489535
## HIV.AIDS -0.063778433210464
## GDP 0.010748020205673
## Population -0.000000001917025
## thinness..1.19.years .
## thinness.5.9.years -0.028910338062261
## Income.composition.of.resources 17.580999523608771
## Schooling 0.136514320978655Model after variable selection: Adjusted R square: 0.9346
model1 <- lm(Life.expectancy ~ Year + Adult.Mortality + Alcohol + percentage.expenditure + Hepatitis.B + Measles + BMI + Polio + Total.expenditure + Diphtheria + HIV.AIDS + Population + thinness.5.9.years + Income.composition.of.resources + Schooling, data=test)
summary(model1)##
## Call:
## lm(formula = Life.expectancy ~ Year + Adult.Mortality + Alcohol +
## percentage.expenditure + Hepatitis.B + Measles + BMI + Polio +
## Total.expenditure + Diphtheria + HIV.AIDS + Population +
## thinness.5.9.years + Income.composition.of.resources + Schooling,
## data = test)
##
## Residuals:
## Min 1Q Median 3Q Max
## -18.2764 -1.8756 -0.0601 1.9061 17.2107
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) -81.3396236889858 59.8528971519867 -1.359
## Year 0.0677444207856 0.0298912611638 2.266
## Adult.Mortality -0.0126102312795 0.0015308168024 -8.238
## Alcohol 0.0512051057929 0.0411262763674 1.245
## percentage.expenditure 0.1342120527553 0.0397522146834 3.376
## Hepatitis.B -0.0160834820294 0.0064803365986 -2.482
## Measles -0.1578260952280 0.0350970433915 -4.497
## BMI 0.0230222828580 0.0092272977173 2.495
## Polio 0.0245831490298 0.0075991400179 3.235
## Total.expenditure 0.0972084524216 0.0595548200145 1.632
## Diphtheria 0.0185745700465 0.0081932788920 2.267
## HIV.AIDS -2.6273802019820 0.1250390164397 -21.012
## Population 0.0000000002115 0.0000000016205 0.130
## thinness.5.9.years -0.0843238337086 0.0383202331881 -2.201
## Income.composition.of.resources 6.6284528164708 1.0808417414790 6.133
## Schooling 0.4679020391796 0.0722351193811 6.477
## Pr(>|t|)
## (Intercept) 0.174575
## Year 0.023726 *
## Adult.Mortality 0.000000000000000829 ***
## Alcohol 0.213512
## percentage.expenditure 0.000774 ***
## Hepatitis.B 0.013296 *
## Measles 0.000008038555314187 ***
## BMI 0.012818 *
## Polio 0.001272 **
## Total.expenditure 0.103064
## Diphtheria 0.023683 *
## HIV.AIDS < 0.0000000000000002 ***
## Population 0.896212
## thinness.5.9.years 0.028088 *
## Income.composition.of.resources 0.000000001425456355 ***
## Schooling 0.000000000172913508 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.509 on 719 degrees of freedom
## Multiple R-squared: 0.8628, Adjusted R-squared: 0.86
## F-statistic: 301.5 on 15 and 719 DF, p-value: < 0.00000000000000022# when using strongly correlated variables, AdjustedR square is better. 0.9412, AIC=3298.829
model11 <- model11 <- lm(Life.expectancy ~ Schooling + Adult.Mortality + Income.composition.of.resources, data = test)
summary(model11)##
## Call:
## lm(formula = Life.expectancy ~ Schooling + Adult.Mortality +
## Income.composition.of.resources, data = test)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23.5136 -1.8873 0.3551 2.4766 22.6723
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 56.215032 0.913869 61.513
## Schooling 0.938532 0.085738 10.947
## Adult.Mortality -0.031943 0.001761 -18.141
## Income.composition.of.resources 11.410510 1.369549 8.332
## Pr(>|t|)
## (Intercept) < 0.0000000000000002 ***
## Schooling < 0.0000000000000002 ***
## Adult.Mortality < 0.0000000000000002 ***
## Income.composition.of.resources 0.000000000000000393 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.777 on 731 degrees of freedom
## Multiple R-squared: 0.7416, Adjusted R-squared: 0.7405
## F-statistic: 699.3 on 3 and 731 DF, p-value: < 0.00000000000000022Objective 2
The purpose of this objective is to go through a process to compare multiple models with the goal of developing a model that can predict the best and do well on future data.
• Use the training and test set to build at least one additional multiple linear regression model that attempts to find a model with additional complexity than the interpretable model of Objective 1. The point here is to make sure we understand how to add complexity to a linear regression model. Hint: It’s not just including a model with predictors that you’ve eliminated from Objective 1. • I want you to use the ISLR text book below (and the google machine) and read up on one nonparametric technique to build a regression model. I want you to select from k-nearest neighbors’ regression or regression trees. There is a chapter on trees in the ISLR book. For information on knn regression, see Section 3.5. It is important to know that knn can be applied to regression as well as classification problems. Make sure your implementation in R is using the knn regression versions rather than the classification. See me on this if you need help or reassurance. You will use the training and test sets here to help determine the most appropriate tree or the most appropriate “k” in knn.
Model 2 using the Boruta Feature Selection Algorithm
train_new <- bind_cols(train, train_cat)
#Boruta Feature Engineering
boruta.talent_train <- Boruta(Life.expectancy~ ., data = train_new, doTrace = 2, maxRuns = 100)## 1. run of importance source...## 2. run of importance source...## 3. run of importance source...## 4. run of importance source...## 5. run of importance source...## 6. run of importance source...## 7. run of importance source...## 8. run of importance source...## 9. run of importance source...## 10. run of importance source...## 11. run of importance source...## 12. run of importance source...## After 12 iterations, +5.1 secs:## confirmed 21 attributes: Adult.Mortality, Alcohol, BMI, Country, Diphtheria and 16 more;## no more attributes left.print(boruta.talent_train)## Boruta performed 12 iterations in 5.120893 secs.
## 21 attributes confirmed important: Adult.Mortality, Alcohol, BMI,
## Country, Diphtheria and 16 more;
## No attributes deemed unimportant.#take a call on tentative features
boruta.talent <- TentativeRoughFix(boruta.talent_train)## Warning in TentativeRoughFix(boruta.talent_train): There are no Tentative
## attributes! Returning original object.print(boruta.talent)## Boruta performed 12 iterations in 5.120893 secs.
## 21 attributes confirmed important: Adult.Mortality, Alcohol, BMI,
## Country, Diphtheria and 16 more;
## No attributes deemed unimportant.getSelectedAttributes(boruta.talent_train, withTentative = F)## [1] "Year" "Adult.Mortality"
## [3] "infant.deaths" "Alcohol"
## [5] "percentage.expenditure" "Hepatitis.B"
## [7] "Measles" "BMI"
## [9] "under.five.deaths" "Polio"
## [11] "Total.expenditure" "Diphtheria"
## [13] "HIV.AIDS" "GDP"
## [15] "Population" "thinness..1.19.years"
## [17] "thinness.5.9.years" "Income.composition.of.resources"
## [19] "Schooling" "Country"
## [21] "Status"#Plot most important variables
plot(boruta.talent, xlab = "", xaxt = "n")
lz<-lapply(1:ncol(boruta.talent$ImpHistory),function(i)
boruta.talent$ImpHistory[is.finite(boruta.talent$ImpHistory[,i]),i])
names(lz) <- colnames(boruta.talent$ImpHistory)
Labels <- sort(sapply(lz,median))
axis(side = 1,las=2,labels = names(Labels),
at = 1:ncol(boruta.talent$ImpHistory), cex.axis = 0.7)
#Build models based on most important variables from plot
#Use interaction between all variables
LifeExp_lm_2_full <- lm(Life.expectancy ~ (Adult.Mortality + HIV.AIDS + Income.composition.of.resources + Alcohol)^2 , data=train)
summary(LifeExp_lm_2_full)##
## Call:
## lm(formula = Life.expectancy ~ (Adult.Mortality + HIV.AIDS +
## Income.composition.of.resources + Alcohol)^2, data = train)
##
## Residuals:
## Min 1Q Median 3Q Max
## -9.6737 -1.5392 -0.3253 0.9693 11.6144
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 64.6893907 1.3067000 49.506
## Adult.Mortality -0.0548033 0.0039731 -13.794
## HIV.AIDS -1.7192642 0.3329096 -5.164
## Income.composition.of.resources 20.0768096 2.2635683 8.870
## Alcohol 0.5113646 0.1632270 3.133
## Adult.Mortality:HIV.AIDS 0.0037412 0.0003760 9.949
## Adult.Mortality:Income.composition.of.resources 0.0154411 0.0071581 2.157
## Adult.Mortality:Alcohol -0.0011792 0.0003185 -3.702
## HIV.AIDS:Income.composition.of.resources 1.4551503 0.6015838 2.419
## HIV.AIDS:Alcohol -0.0490835 0.0215224 -2.281
## Income.composition.of.resources:Alcohol -0.4227014 0.1692415 -2.498
## Pr(>|t|)
## (Intercept) < 0.0000000000000002 ***
## Adult.Mortality < 0.0000000000000002 ***
## HIV.AIDS 0.000000263 ***
## Income.composition.of.resources < 0.0000000000000002 ***
## Alcohol 0.001754 **
## Adult.Mortality:HIV.AIDS < 0.0000000000000002 ***
## Adult.Mortality:Income.composition.of.resources 0.031103 *
## Adult.Mortality:Alcohol 0.000219 ***
## HIV.AIDS:Income.composition.of.resources 0.015650 *
## HIV.AIDS:Alcohol 0.022669 *
## Income.composition.of.resources:Alcohol 0.012576 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.396 on 2192 degrees of freedom
## Multiple R-squared: 0.9376, Adjusted R-squared: 0.9373
## F-statistic: 3293 on 10 and 2192 DF, p-value: < 0.00000000000000022#Build models based on most important variables from plot
#Use interaction between all variables
LifeExp_lm_3_full <- lm(Life.expectancy ~ Adult.Mortality *Alcohol + Income.composition.of.resources + Alcohol , data=train)
summary(LifeExp_lm_3_full)##
## Call:
## lm(formula = Life.expectancy ~ Adult.Mortality * Alcohol + Income.composition.of.resources +
## Alcohol, data = train)
##
## Residuals:
## Min 1Q Median 3Q Max
## -9.9853 -1.5410 -0.2687 1.1186 12.1918
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 62.0954860 0.5236180 118.589
## Adult.Mortality -0.0440384 0.0009618 -45.788
## Alcohol 0.1964139 0.0277912 7.067
## Income.composition.of.resources 24.3201726 0.6299619 38.606
## Adult.Mortality:Alcohol -0.0009455 0.0001364 -6.932
## Pr(>|t|)
## (Intercept) < 0.0000000000000002 ***
## Adult.Mortality < 0.0000000000000002 ***
## Alcohol 0.00000000000211 ***
## Income.composition.of.resources < 0.0000000000000002 ***
## Adult.Mortality:Alcohol 0.00000000000545 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.453 on 2198 degrees of freedom
## Multiple R-squared: 0.9344, Adjusted R-squared: 0.9343
## F-statistic: 7830 on 4 and 2198 DF, p-value: < 0.00000000000000022#Cross validation
tc <- trainControl(method = "cv", number = 10, repeats = 5)## Warning: `repeats` has no meaning for this resampling method.#Run backwards model selection
lm_cv_leapBackward <- train(Life.expectancy ~ Adult.Mortality *Alcohol + Income.composition.of.resources + Alcohol, data = train, method = "leapBackward",
trControl = tc) # here
#Run forwards model selection
lm_cv_leapForward <- train(Life.expectancy ~ Adult.Mortality *Alcohol + Income.composition.of.resources + Alcohol, data = train, method = "leapForward",
trControl = tc) # here
#Run stepwise model selection
lm_cv_leapSeq <- train(Life.expectancy ~ Adult.Mortality *Alcohol + Income.composition.of.resources + Alcohol, data = train, method = "leapSeq",
trControl = tc) # here
#output of each model
lm_cv_leapBackward## Linear Regression with Backwards Selection
##
## 2203 samples
## 3 predictor
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 1983, 1982, 1982, 1981, 1982, 1983, ...
## Resampling results across tuning parameters:
##
## nvmax RMSE Rsquared MAE
## 2 2.479670 0.9331941 1.814462
## 3 2.482087 0.9330569 1.817251
## 4 2.452619 0.9346754 1.817632
##
## RMSE was used to select the optimal model using the smallest value.
## The final value used for the model was nvmax = 4.lm_cv_leapForward## Linear Regression with Forward Selection
##
## 2203 samples
## 3 predictor
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 1982, 1984, 1984, 1983, 1983, 1982, ...
## Resampling results across tuning parameters:
##
## nvmax RMSE Rsquared MAE
## 2 2.480398 0.9333622 1.815764
## 3 2.481557 0.9332931 1.817826
## 4 2.451649 0.9347692 1.818526
##
## RMSE was used to select the optimal model using the smallest value.
## The final value used for the model was nvmax = 4.lm_cv_leapSeq## Linear Regression with Stepwise Selection
##
## 2203 samples
## 3 predictor
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 1984, 1982, 1983, 1983, 1982, 1984, ...
## Resampling results across tuning parameters:
##
## nvmax RMSE Rsquared MAE
## 2 2.480792 0.9326320 1.814315
## 3 2.482934 0.9325032 1.817297
## 4 2.452652 0.9340881 1.817936
##
## RMSE was used to select the optimal model using the smallest value.
## The final value used for the model was nvmax = 4.#Select model list and run summary of relevant stats
model_list <- list(lm_cv_leapBackward = lm_cv_leapBackward, lm_cv_leapForward = lm_cv_leapForward, lm_cv_leapSeq =lm_cv_leapSeq )
res <- resamples(model_list)
summary(res)##
## Call:
## summary.resamples(object = res)
##
## Models: lm_cv_leapBackward, lm_cv_leapForward, lm_cv_leapSeq
## Number of resamples: 10
##
## MAE
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## lm_cv_leapBackward 1.710120 1.736061 1.815378 1.817632 1.873448 1.998410 0
## lm_cv_leapForward 1.668687 1.713537 1.803759 1.818526 1.932388 1.977017 0
## lm_cv_leapSeq 1.730739 1.760150 1.827252 1.817936 1.853555 1.947787 0
##
## RMSE
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## lm_cv_leapBackward 2.274852 2.397546 2.448817 2.452619 2.513221 2.632487 0
## lm_cv_leapForward 2.237626 2.327904 2.454871 2.451649 2.554076 2.667448 0
## lm_cv_leapSeq 2.283933 2.393013 2.473138 2.452652 2.520957 2.557469 0
##
## Rsquared
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## lm_cv_leapBackward 0.9296740 0.9312983 0.9335944 0.9346754 0.9361822 0.9456119
## lm_cv_leapForward 0.9225366 0.9296381 0.9358241 0.9347692 0.9381388 0.9459182
## lm_cv_leapSeq 0.9152769 0.9342874 0.9349451 0.9340881 0.9370126 0.9427673
## NA's
## lm_cv_leapBackward 0
## lm_cv_leapForward 0
## lm_cv_leapSeq 0KNN for nonparametric technique
#Split x and y into test and training sets
train_x = train[, -2]
train_x = scale(train_x)[,]
train_y = train[,2]
test_x = test[, -2]
test_x = scale(test[,-2])[,]
test_y = test[,2]
#Run knnreg for nearest neighbor
knnmodel = knnreg(train_x, train_y)
str(knnmodel)## List of 3
## $ learn :List of 2
## ..$ y: num [1:2203] 62.5 81.5 64.7 45.6 71 78.7 74.1 81 82.2 79.2 ...
## ..$ X: num [1:2203, 1:19] 0.547 0.547 -0.33 -1.207 1.204 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : chr [1:2203] "1" "2" "3" "4" ...
## .. .. ..$ : chr [1:19] "Year" "Adult.Mortality" "infant.deaths" "Alcohol" ...
## $ k : num 5
## $ theDots: list()
## - attr(*, "class")= chr "knnreg"#view test_y and predict y
pred_y = predict(knnmodel, data.frame(test_x))
#print data frame
print(data.frame(test_y, pred_y))## test_y pred_y
## 1 59.9 61.76000
## 2 58.8 59.06000
## 3 55.3 55.48000
## 4 76.2 74.78000
## 5 74.2 77.12000
## 6 73.0 74.50000
## 7 74.7 74.60000
## 8 73.4 70.20000
## 9 72.9 72.64000
## 10 71.4 71.52000
## 11 51.7 52.94000
## 12 51.0 52.72000
## 13 49.1 52.78000
## 14 48.2 52.78000
## 15 47.7 53.16000
## 16 46.5 51.40000
## 17 76.2 74.44000
## 18 74.0 66.70000
## 19 75.7 75.98000
## 20 75.5 75.58000
## 21 74.9 76.50000
## 22 74.1 74.70000
## 23 74.8 78.58000
## 24 73.9 73.02000
## 25 73.5 70.30000
## 26 72.9 73.76000
## 27 73.0 67.52000
## 28 72.7 73.82000
## 29 72.6 71.30000
## 30 72.6 73.10000
## 31 72.0 72.36000
## 32 82.8 83.64000
## 33 82.3 82.64000
## 34 81.7 81.30000
## 35 79.9 81.88000
## 36 81.5 82.26000
## 37 81.4 83.58000
## 38 71.6 72.82000
## 39 67.8 69.78000
## 40 67.8 68.86000
## 41 75.4 77.38000
## 42 74.5 72.58000
## 43 74.1 74.14000
## 44 73.8 74.10000
## 45 73.2 73.44000
## 46 73.1 74.06000
## 47 76.9 75.02000
## 48 75.5 76.04000
## 49 73.0 71.16000
## 50 66.8 62.86000
## 51 65.3 64.94000
## 52 75.5 74.68000
## 53 75.1 74.88000
## 54 73.9 73.80000
## 55 73.5 70.14000
## 56 71.7 73.24000
## 57 69.8 74.36000
## 58 68.1 69.20000
## 59 67.7 72.92000
## 60 68.0 75.35000
## 61 80.0 82.96000
## 62 79.5 78.62000
## 63 78.0 79.96000
## 64 71.0 71.20000
## 65 69.4 70.92000
## 66 69.6 69.86000
## 67 68.7 68.94000
## 68 68.3 69.66000
## 69 60.0 62.38000
## 70 55.8 56.60000
## 71 55.6 57.06000
## 72 55.4 57.20000
## 73 68.3 68.42000
## 74 65.8 66.20000
## 75 63.3 65.02000
## 76 62.5 63.88000
## 77 77.0 70.94000
## 78 74.0 69.52000
## 79 69.8 70.54000
## 80 68.7 71.84000
## 81 66.8 67.94000
## 82 65.7 69.06000
## 83 62.6 67.52000
## 84 76.8 75.98000
## 85 75.7 76.02000
## 86 75.2 72.42000
## 87 75.4 70.38000
## 88 65.1 61.90000
## 89 46.0 48.60000
## 90 74.5 75.86000
## 91 73.4 72.24000
## 92 72.7 73.30000
## 93 75.0 73.26000
## 94 77.1 75.52000
## 95 76.0 77.10000
## 96 74.8 75.78000
## 97 74.5 74.96000
## 98 73.9 75.22000
## 99 73.2 73.82000
## 100 72.1 74.26000
## 101 72.0 71.52000
## 102 71.6 74.44000
## 103 59.9 66.08000
## 104 59.3 61.04000
## 105 58.6 51.60000
## 106 54.3 58.78000
## 107 53.3 55.08000
## 108 51.0 52.74000
## 109 51.0 54.44000
## 110 59.1 62.00000
## 111 56.2 59.42000
## 112 53.4 56.02000
## 113 52.6 54.12000
## 114 51.9 55.00000
## 115 52.8 62.98000
## 116 51.7 54.46000
## 117 51.5 58.14000
## 118 51.0 54.76000
## 119 49.9 53.72000
## 120 48.7 54.54000
## 121 48.2 52.72000
## 122 47.7 49.96000
## 123 47.8 51.56000
## 124 72.8 74.08000
## 125 72.6 71.26000
## 126 67.4 66.34000
## 127 61.5 61.90000
## 128 59.3 59.18000
## 129 56.4 57.30000
## 130 55.3 63.48000
## 131 51.4 51.78000
## 132 81.6 85.38000
## 133 81.5 86.82000
## 134 81.0 80.08000
## 135 79.7 81.98000
## 136 79.4 80.26000
## 137 49.2 50.48000
## 138 47.6 49.96000
## 139 46.8 47.46000
## 140 45.6 53.62000
## 141 53.1 55.48000
## 142 51.2 54.58000
## 143 49.6 52.48000
## 144 48.5 55.74000
## 145 48.4 52.64000
## 146 83.0 78.52000
## 147 81.0 75.88000
## 148 79.1 73.36000
## 149 79.3 77.36000
## 150 79.6 78.28000
## 151 78.0 77.28000
## 152 77.9 77.40000
## 153 77.3 76.90000
## 154 75.8 73.88000
## 155 75.6 75.06000
## 156 75.2 73.54000
## 157 75.0 75.06000
## 158 74.2 74.24000
## 159 73.1 74.24000
## 160 72.7 71.22000
## 161 72.2 74.24000
## 162 71.7 67.82000
## 163 74.6 74.64000
## 164 71.5 68.42000
## 165 62.9 63.58000
## 166 61.0 62.16000
## 167 59.8 61.16000
## 168 64.7 56.34000
## 169 63.9 60.60000
## 170 52.6 53.02000
## 171 52.9 53.04000
## 172 79.2 74.10000
## 173 77.7 72.80000
## 174 78.0 75.16000
## 175 77.6 70.00000
## 176 77.7 75.66000
## 177 77.1 79.42000
## 178 75.8 77.76000
## 179 75.2 75.78000
## 180 75.4 75.78000
## 181 79.1 75.34000
## 182 78.7 78.14000
## 183 81.0 78.08000
## 184 79.5 78.64000
## 185 78.4 78.34000
## 186 78.2 78.06000
## 187 78.6 77.54000
## 188 77.8 77.78000
## 189 75.1 74.34000
## 190 69.8 70.76000
## 191 68.5 68.50000
## 192 68.4 67.98000
## 193 68.1 66.50000
## 194 57.9 69.48000
## 195 57.4 61.34000
## 196 52.8 54.74000
## 197 86.0 78.20000
## 198 84.0 83.36000
## 199 78.9 81.30000
## 200 78.4 78.76000
## 201 77.7 78.20000
## 202 61.3 61.18000
## 203 69.0 60.50000
## 204 62.0 60.50000
## 205 57.7 58.34000
## 206 79.0 73.54000
## 207 73.9 72.70000
## 208 73.1 72.04000
## 209 72.7 71.92000
## 210 76.2 73.18000
## 211 75.5 73.24000
## 212 75.0 75.40000
## 213 74.7 74.12000
## 214 73.6 73.80000
## 215 70.0 71.08000
## 216 69.4 69.50000
## 217 68.8 69.18000
## 218 73.0 72.72000
## 219 72.0 72.58000
## 220 71.7 73.64000
## 221 69.0 70.84000
## 222 64.0 63.40000
## 223 67.0 61.00000
## 224 76.3 75.06000
## 225 76.1 73.82000
## 226 71.2 71.72000
## 227 78.0 69.90000
## 228 63.7 62.08000
## 229 57.2 54.74000
## 230 54.0 54.36000
## 231 68.7 74.62000
## 232 68.5 68.14000
## 233 89.0 83.54000
## 234 87.0 84.18000
## 235 84.0 83.08000
## 236 79.7 79.86000
## 237 79.3 79.54000
## 238 78.7 80.78000
## 239 78.1 77.54000
## 240 82.0 82.02000
## 241 81.5 78.48000
## 242 86.0 86.80000
## 243 82.0 84.66000
## 244 66.0 61.00000
## 245 65.5 57.34000
## 246 62.8 62.72000
## 247 62.3 62.72000
## 248 61.6 61.66000
## 249 68.0 62.48000
## 250 59.3 60.40000
## 251 58.2 58.66000
## 252 57.7 58.66000
## 253 56.3 63.54000
## 254 72.7 72.96000
## 255 71.8 65.66000
## 256 85.0 79.92000
## 257 78.5 83.08000
## 258 61.9 62.38000
## 259 61.6 62.36000
## 260 63.0 62.38000
## 261 57.4 61.26000
## 262 81.0 78.94000
## 263 85.0 83.78000
## 264 79.9 79.26000
## 265 79.1 77.54000
## 266 73.3 74.36000
## 267 73.1 74.16000
## 268 72.6 69.36000
## 269 71.9 68.72000
## 270 71.9 64.60000
## 271 75.0 74.18000
## 272 67.7 62.38000
## 273 58.8 57.96000
## 274 55.6 53.32000
## 275 52.5 54.60000
## 276 58.4 59.76000
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## 278 56.3 57.60000
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## 280 53.0 57.92000
## 281 52.8 59.96000
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## 283 65.9 66.02000
## 284 65.0 65.34000
## 285 65.4 69.40000
## 286 63.1 61.76000
## 287 62.7 61.76000
## 288 62.5 63.60000
## 289 62.1 63.64000
## 290 61.8 59.66000
## 291 59.7 68.34000
## 292 72.2 72.68000
## 293 71.6 72.16000
## 294 71.3 72.16000
## 295 75.8 78.00000
## 296 75.5 74.50000
## 297 75.0 74.94000
## 298 82.1 82.44000
## 299 81.8 83.00000
## 300 84.0 80.00000
## 301 79.7 79.34000
## 302 68.0 66.84000
## 303 67.3 69.68000
## 304 64.0 64.06000
## 305 63.3 64.08000
## 306 62.5 64.24000
## 307 68.5 67.44000
## 308 67.9 67.90000
## 309 67.7 67.88000
## 310 65.3 67.38000
## 311 66.7 60.72000
## 312 75.5 74.08000
## 313 75.4 74.74000
## 314 74.1 73.02000
## 315 72.2 72.44000
## 316 71.2 72.94000
## 317 69.5 70.24000
## 318 76.0 68.02000
## 319 77.0 69.02000
## 320 79.5 79.94000
## 321 76.4 77.72000
## 322 82.5 76.92000
## 323 82.1 81.70000
## 324 80.0 81.86000
## 325 81.0 82.20000
## 326 79.3 81.20000
## 327 78.9 80.04000
## 328 82.5 77.94000
## 329 82.0 81.80000
## 330 81.6 82.42000
## 331 81.2 84.24000
## 332 75.8 74.30000
## 333 75.2 74.50000
## 334 74.7 72.70000
## 335 73.5 73.42000
## 336 82.5 80.80000
## 337 73.3 71.00000
## 338 72.1 72.38000
## 339 68.5 67.02000
## 340 66.6 65.70000
## 341 62.9 61.74000
## 342 65.2 67.34000
## 343 64.7 66.54000
## 344 64.6 66.74000
## 345 74.6 81.02000
## 346 74.2 75.10000
## 347 73.8 74.92000
## 348 73.7 75.08000
## 349 73.4 74.70000
## 350 73.3 74.64000
## 351 73.2 72.78000
## 352 73.2 75.90000
## 353 71.1 72.26000
## 354 69.9 71.64000
## 355 68.5 69.04000
## 356 67.1 66.34000
## 357 66.6 66.34000
## 358 65.7 66.52000
## 359 65.3 65.88000
## 360 64.9 66.34000
## 361 62.6 61.90000
## 362 64.0 59.38000
## 363 74.4 82.00000
## 364 72.6 72.00000
## 365 76.0 73.50000
## 366 78.0 75.94000
## 367 74.8 74.80000
## 368 75.0 74.80000
## 369 52.1 53.22000
## 370 44.5 46.72000
## 371 49.3 50.68000
## 372 61.4 52.12000
## 373 62.0 53.90000
## 374 59.7 53.78000
## 375 59.2 52.78000
## 376 54.0 52.78000
## 377 50.0 58.02000
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## 379 71.3 74.60000
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## 381 73.0 72.38000
## 382 72.8 73.54000
## 383 76.0 74.46000
## 384 71.6 78.02000
## 385 71.2 74.80000
## 386 71.6 76.62000
## 387 82.0 78.52000
## 388 79.4 79.80000
## 389 78.6 78.74000
## 390 65.1 63.94000
## 391 61.9 64.58000
## 392 61.4 64.00000
## 393 59.3 59.84000
## 394 57.9 58.24000
## 395 57.6 53.54000
## 396 52.9 52.88000
## 397 46.0 64.50000
## 398 44.6 48.18000
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## 401 73.6 73.34000
## 402 73.4 73.34000
## 403 72.7 73.08000
## 404 76.7 77.00000
## 405 75.4 74.16000
## 406 72.7 72.82000
## 407 58.2 58.16000
## 408 56.0 57.58000
## 409 81.1 82.10000
## 410 79.3 78.70000
## 411 78.5 78.90000
## 412 77.8 77.04000
## 413 63.0 62.68000
## 414 62.0 60.30000
## 415 61.2 59.02000
## 416 69.0 62.04000
## 417 73.6 73.34000
## 418 72.7 71.54000
## 419 71.5 70.54000
## 420 76.7 72.92000
## 421 75.6 73.68000
## 422 76.0 73.78000
## 423 75.3 75.42000
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## 425 69.4 71.38000
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## 427 65.9 74.36000
## 428 64.0 68.92000
## 429 62.8 63.86000
## 430 75.8 73.24000
## 431 74.6 73.50000
## 432 74.2 74.96000
## 433 73.8 72.70000
## 434 73.5 71.30000
## 435 73.0 66.58000
## 436 74.3 73.62000
## 437 73.3 72.88000
## 438 69.9 69.98000
## 439 57.6 52.88000
## 440 54.0 60.16000
## 441 53.8 60.03333
## 442 49.8 52.22000
## 443 49.0 52.70000
## 444 62.8 63.82000
## 445 65.8 61.66000
## 446 65.9 62.40000
## 447 65.8 63.10000
## 448 57.0 57.30000
## 449 71.0 72.78000
## 450 66.0 67.80000
## 451 63.1 64.94000
## 452 81.1 85.14000
## 453 86.0 81.24000
## 454 83.0 81.00000
## 455 78.4 79.82000
## 456 78.3 76.48000
## 457 78.1 77.38000
## 458 81.6 78.92000
## 459 81.5 81.36000
## 460 81.0 77.10000
## 461 79.9 79.78000
## 462 73.2 69.00000
## 463 72.5 72.90000
## 464 71.0 70.30000
## 465 76.0 73.56000
## 466 75.0 73.20000
## 467 73.0 73.18000
## 468 61.8 64.04000
## 469 61.4 59.14000
## 470 58.2 60.26000
## 471 54.5 55.70000
## 472 52.1 56.40000
## 473 52.3 52.00000
## 474 47.7 53.38000
## 475 47.4 52.32000
## 476 78.9 80.86000
## 477 78.8 81.16000
## 478 78.5 79.64000
## 479 75.4 74.86000
## 480 74.9 72.74000
## 481 74.7 74.64000
## 482 74.0 73.76000
## 483 73.6 73.88000
## 484 73.3 74.50000
## 485 66.4 71.16000
## 486 66.0 65.56000
## 487 65.5 67.14000
## 488 64.8 62.56000
## 489 64.2 70.42000
## 490 63.5 62.14000
## 491 76.8 76.80000
## 492 76.5 77.28000
## 493 76.2 77.58000
## 494 75.8 76.28000
## 495 75.5 76.50000
## 496 75.7 75.62000
## 497 62.9 63.76000
## 498 62.2 63.40000
## 499 61.4 64.40000
## 500 61.1 63.16000
## 501 59.6 63.02000
## 502 58.9 59.92000
## 503 73.6 70.62000
## 504 75.3 74.84000
## 505 74.9 74.84000
## 506 73.9 71.94000
## 507 72.2 73.22000
## 508 72.6 74.48000
## 509 68.4 69.32000
## 510 68.1 70.24000
## 511 68.0 68.70000
## 512 67.5 68.82000
## 513 67.0 67.14000
## 514 75.5 76.00000
## 515 75.3 72.24000
## 516 75.0 73.26000
## 517 74.9 73.22000
## 518 79.3 81.72000
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## 520 78.1 76.64000
## 521 77.8 77.26000
## 522 76.8 75.96000
## 523 76.7 76.70000
## 524 76.7 77.98000
## 525 72.1 70.98000
## 526 71.8 72.78000
## 527 67.3 70.22000
## 528 74.8 73.10000
## 529 74.4 74.74000
## 530 74.3 74.76000
## 531 73.1 72.82000
## 532 71.7 73.08000
## 533 73.0 71.68000
## 534 66.4 72.38000
## 535 65.0 69.10000
## 536 65.0 73.10000
## 537 66.1 68.12000
## 538 63.8 60.92000
## 539 61.0 62.34000
## 540 57.6 53.62000
## 541 52.0 60.92000
## 542 48.6 52.80000
## 543 75.0 75.16000
## 544 74.8 75.02000
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## 546 73.5 73.48000
## 547 73.1 73.26000
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## 550 72.7 74.72000
## 551 72.8 75.14000
## 552 72.5 73.70000
## 553 72.1 72.94000
## 554 71.9 73.38000
## 555 71.4 73.38000
## 556 79.0 72.72000
## 557 79.0 65.96000
## 558 74.0 68.50000
## 559 72.2 72.70000
## 560 75.0 74.14000
## 561 71.2 75.38000
## 562 66.2 72.34000
## 563 74.4 74.86000
## 564 74.3 74.24000
## 565 73.7 73.88000
## 566 73.0 73.12000
## 567 72.9 73.28000
## 568 72.6 73.74000
## 569 64.9 65.72000
## 570 64.3 63.32000
## 571 58.4 54.00000
## 572 75.4 75.54000
## 573 75.3 79.60000
## 574 74.0 75.84000
## 575 73.1 72.84000
## 576 73.2 74.78000
## 577 72.4 74.00000
## 578 72.3 72.88000
## 579 72.1 71.44000
## 580 72.1 72.58000
## 581 72.0 71.84000
## 582 71.8 69.70000
## 583 42.3 49.44000
## 584 41.5 56.96000
## 585 48.0 48.34000
## 586 83.1 77.02000
## 587 79.0 81.06000
## 588 76.4 76.14000
## 589 75.6 75.66000
## 590 74.1 74.10000
## 591 73.0 75.48000
## 592 85.0 83.00000
## 593 79.8 82.26000
## 594 79.5 80.82000
## 595 78.3 79.98000
## 596 78.1 78.60000
## 597 68.8 68.20000
## 598 68.7 68.20000
## 599 54.3 55.20000
## 600 51.9 53.42000
## 601 62.9 60.64000
## 602 69.0 58.42000
## 603 59.2 62.92000
## 604 54.5 56.54000
## 605 54.0 54.06000
## 606 53.8 55.20000
## 607 56.0 55.68000
## 608 56.6 55.06000
## 609 55.4 55.70000
## 610 55.0 54.00000
## 611 54.3 53.76000
## 612 51.9 55.52000
## 613 52.0 54.08000
## 614 82.1 81.50000
## 615 81.0 81.92000
## 616 79.4 83.26000
## 617 79.5 81.54000
## 618 74.6 73.56000
## 619 74.5 73.36000
## 620 73.7 72.16000
## 621 63.8 63.64000
## 622 62.7 60.56000
## 623 62.0 62.74000
## 624 61.4 58.64000
## 625 67.0 60.70000
## 626 59.7 58.20000
## 627 58.9 60.82000
## 628 68.3 65.68000
## 629 68.0 67.14000
## 630 58.9 57.98000
## 631 45.6 64.60000
## 632 82.4 81.68000
## 633 81.7 82.40000
## 634 81.1 81.86000
## 635 88.0 79.00000
## 636 83.0 83.36000
## 637 79.9 80.08000
## 638 79.8 80.88000
## 639 79.6 80.88000
## 640 83.4 82.34000
## 641 83.0 84.04000
## 642 82.6 83.18000
## 643 81.7 81.38000
## 644 81.5 80.26000
## 645 84.0 79.90000
## 646 73.8 72.22000
## 647 73.8 71.08000
## 648 73.7 69.00000
## 649 72.7 67.44000
## 650 69.6 68.52000
## 651 68.8 68.60000
## 652 67.3 69.40000
## 653 66.1 66.52000
## 654 65.2 68.92000
## 655 63.7 68.00000
## 656 74.3 73.82000
## 657 73.0 72.72000
## 658 72.5 72.90000
## 659 74.9 74.68000
## 660 74.2 74.12000
## 661 73.5 73.94000
## 662 73.2 69.82000
## 663 72.6 70.94000
## 664 68.0 66.32000
## 665 65.8 61.86000
## 666 64.9 66.86000
## 667 61.0 65.84000
## 668 59.4 60.80000
## 669 58.7 59.30000
## 670 59.4 58.20000
## 671 56.7 57.33333
## 672 55.7 56.96667
## 673 54.7 54.54000
## 674 54.6 53.86000
## 675 73.5 72.16000
## 676 73.3 73.22000
## 677 73.0 72.78000
## 678 74.0 72.66000
## 679 69.3 68.60000
## 680 75.3 73.92000
## 681 73.2 73.42000
## 682 78.0 70.86000
## 683 74.0 71.84000
## 684 65.4 65.94000
## 685 65.6 70.24000
## 686 63.7 64.06000
## 687 63.8 60.30000
## 688 62.3 54.12000
## 689 60.0 59.06000
## 690 47.7 50.52000
## 691 71.3 70.86000
## 692 69.8 73.26000
## 693 67.7 71.86000
## 694 67.7 66.40000
## 695 67.0 66.44000
## 696 67.7 66.42000
## 697 77.1 73.96000
## 698 76.2 74.80000
## 699 79.0 74.82000
## 700 78.3 79.30000
## 701 56.2 56.04000
## 702 51.5 55.68000
## 703 78.7 78.48000
## 704 77.5 77.96000
## 705 76.8 79.76000
## 706 76.2 76.10000
## 707 68.0 69.80000
## 708 67.9 70.30000
## 709 67.6 67.82000
## 710 67.1 67.66000
## 711 67.4 68.18000
## 712 72.0 72.42000
## 713 71.2 73.40000
## 714 71.0 74.52000
## 715 69.1 70.64000
## 716 73.9 72.96000
## 717 73.7 76.88000
## 718 73.8 72.02000
## 719 73.4 73.30000
## 720 73.3 70.76000
## 721 72.5 71.78000
## 722 72.5 69.78000
## 723 76.0 70.88000
## 724 75.6 75.16000
## 725 75.2 73.90000
## 726 73.6 74.12000
## 727 62.6 62.68000
## 728 62.2 62.32000
## 729 61.8 58.44000
## 730 63.0 57.88000
## 731 59.2 57.64000
## 732 52.6 53.74000
## 733 59.2 56.38000
## 734 50.0 48.50000
## 735 44.8 62.94000#summary of data frame for knn
summary(test_x)## Year Adult.Mortality infant.deaths Alcohol
## Min. :-1.5846 Min. :-1.4070 Min. :-1.3166 Min. :-1.1441
## 1st Qu.:-0.9555 1st Qu.:-0.7282 1st Qu.:-1.3166 1st Qu.:-1.0007
## Median :-0.1167 Median :-0.1936 Median : 0.0399 Median :-0.1883
## Mean : 0.0000 Mean : 0.0000 Mean : 0.0000 Mean : 0.0000
## 3rd Qu.: 0.9318 3rd Qu.: 0.5700 3rd Qu.: 0.8333 3rd Qu.: 0.7675
## Max. : 1.5609 Max. : 4.5156 Max. : 2.5539 Max. : 2.6363
## percentage.expenditure Hepatitis.B Measles BMI
## Min. :-1.5779 Min. :-2.8938 Min. :-1.15385 Min. :-1.8818
## 1st Qu.:-0.5941 1st Qu.:-0.3019 1st Qu.:-1.15385 1st Qu.:-0.9676
## Median : 0.1898 Median : 0.4118 Median : 0.05553 Median : 0.3000
## Mean : 0.0000 Mean : 0.0000 Mean : 0.00000 Mean : 0.0000
## 3rd Qu.: 0.7576 3rd Qu.: 0.6748 3rd Qu.: 0.79645 3rd Qu.: 0.8960
## Max. : 1.8139 Max. : 0.7875 Max. : 2.25788 Max. : 2.4566
## under.five.deaths Polio Total.expenditure Diphtheria
## Min. :-1.36596 Min. :-3.4165 Min. :-2.32999 Min. :-3.2569
## 1st Qu.:-1.36596 1st Qu.:-0.2340 1st Qu.:-0.62858 1st Qu.:-0.2066
## Median : 0.05565 Median : 0.4541 Median :-0.09967 Median : 0.4620
## Mean : 0.00000 Mean : 0.0000 Mean : 0.00000 Mean : 0.0000
## 3rd Qu.: 0.84343 3rd Qu.: 0.6261 3rd Qu.: 0.60978 3rd Qu.: 0.6291
## Max. : 2.51068 Max. : 0.7122 Max. : 4.98969 Max. : 0.7127
## HIV.AIDS GDP Population thinness..1.19.years
## Min. :-0.6724 Min. :-3.9546 Min. :-0.18358 Min. :-1.0713
## 1st Qu.:-0.6724 1st Qu.:-0.5845 1st Qu.:-0.18070 1st Qu.:-0.7249
## Median :-0.6724 Median : 0.1108 Median :-0.16568 Median :-0.3324
## Mean : 0.0000 Mean : 0.0000 Mean : 0.00000 Mean : 0.0000
## 3rd Qu.: 0.5712 3rd Qu.: 0.7065 3rd Qu.:-0.09787 3rd Qu.: 0.5335
## Max. : 3.3030 Max. : 2.6833 Max. :15.32078 Max. : 5.3015
## thinness.5.9.years Income.composition.of.resources Schooling
## Min. :-1.0590 Min. :-2.8843 Min. :-3.4344
## 1st Qu.:-0.7211 1st Qu.:-0.6339 1st Qu.:-0.5506
## Median :-0.3382 Median : 0.2440 Median : 0.1127
## Mean : 0.0000 Mean : 0.0000 Mean : 0.0000
## 3rd Qu.: 0.5176 3rd Qu.: 0.7154 3rd Qu.: 0.6462
## Max. : 5.3601 Max. : 1.4501 Max. : 2.4486Loop over KNN for best K value
accs = data.frame(mse = numeric(20), k = numeric(20))
#k out to 20
for(i in 1:20)
{
knnmodel = knnreg(train_x, train_y, k = i)
pred_y = predict(knnmodel, data.frame(test_x))
mse = mean((test_y - pred_y)^2)
accs$mse[i] = mse
accs$k[i] = i
}
#plot k vs mse
plot(accs$k,accs$mse, type = "l", xlab = "k")
best_k = accs %>% slice(which.min(mse))
best_k = best_k$kIncorporate best K into KNN model
knnmodel = knnreg(train_x, train_y, k = best_k)
str(knnmodel)## List of 3
## $ learn :List of 2
## ..$ y: num [1:2203] 62.5 81.5 64.7 45.6 71 78.7 74.1 81 82.2 79.2 ...
## ..$ X: num [1:2203, 1:19] 0.547 0.547 -0.33 -1.207 1.204 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : chr [1:2203] "1" "2" "3" "4" ...
## .. .. ..$ : chr [1:19] "Year" "Adult.Mortality" "infant.deaths" "Alcohol" ...
## $ k : num 9
## $ theDots: list()
## - attr(*, "class")= chr "knnreg"pred_y = predict(knnmodel, data.frame(test_x))
print(data.frame(test_y, pred_y))## test_y pred_y
## 1 59.9 62.31111
## 2 58.8 60.56667
## 3 55.3 56.85556
## 4 76.2 74.06667
## 5 74.2 74.87778
## 6 73.0 75.25556
## 7 74.7 74.26667
## 8 73.4 70.44444
## 9 72.9 72.68889
## 10 71.4 71.78889
## 11 51.7 54.10000
## 12 51.0 53.02222
## 13 49.1 51.23333
## 14 48.2 53.25556
## 15 47.7 52.28889
## 16 46.5 52.36667
## 17 76.2 73.87778
## 18 74.0 67.05556
## 19 75.7 76.42222
## 20 75.5 74.73333
## 21 74.9 76.36667
## 22 74.1 75.46667
## 23 74.8 78.71111
## 24 73.9 73.97778
## 25 73.5 71.65556
## 26 72.9 72.90000
## 27 73.0 70.22222
## 28 72.7 74.32222
## 29 72.6 70.50000
## 30 72.6 73.26667
## 31 72.0 71.45556
## 32 82.8 82.56667
## 33 82.3 82.94444
## 34 81.7 82.46667
## 35 79.9 80.74444
## 36 81.5 81.37778
## 37 81.4 82.56667
## 38 71.6 73.31111
## 39 67.8 70.56667
## 40 67.8 68.46667
## 41 75.4 76.57778
## 42 74.5 72.87778
## 43 74.1 74.75556
## 44 73.8 74.13333
## 45 73.2 73.80000
## 46 73.1 74.13333
## 47 76.9 74.88889
## 48 75.5 76.15556
## 49 73.0 69.83333
## 50 66.8 63.47778
## 51 65.3 64.84444
## 52 75.5 74.12222
## 53 75.1 74.63333
## 54 73.9 73.61111
## 55 73.5 70.97000
## 56 71.7 74.03333
## 57 69.8 74.18889
## 58 68.1 70.10000
## 59 67.7 72.98889
## 60 68.0 74.07778
## 61 80.0 82.11111
## 62 79.5 79.16667
## 63 78.0 79.15556
## 64 71.0 72.42222
## 65 69.4 71.32222
## 66 69.6 69.74444
## 67 68.7 69.07778
## 68 68.3 70.71111
## 69 60.0 61.71111
## 70 55.8 57.42222
## 71 55.6 58.10000
## 72 55.4 58.46667
## 73 68.3 69.35000
## 74 65.8 66.24444
## 75 63.3 65.60000
## 76 62.5 65.46667
## 77 77.0 71.92222
## 78 74.0 70.86667
## 79 69.8 69.73333
## 80 68.7 71.63333
## 81 66.8 69.75556
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## 734 50.0 47.88889
## 735 44.8 62.31111Relevant KNN stats for mse, mae, and rmse
mse = mean((test_y - pred_y)^2)
mae = caret::MAE(test_y, pred_y)
rmse = caret::RMSE(test_y, pred_y)
cat("MSE: ", mse, "MAE: ", mae, " RMSE: ", rmse)## MSE: 10.03986 MAE: 2.204283 RMSE: 3.168573Life expectancy prediction
x = 1:length(test_y)
plot(x, test_y, col = "red", type = "l", lwd=2,
main = "Life Expectancy Prediction")
lines(x, pred_y, col = "blue", lwd=2)
legend("topright", legend = c("original-Life Expectancy", "predicted-Life Expectancy"),
fill = c("red", "blue"), col = 2:3, adj = c(0, 0.6))
grid()